PUBLICACIÓN

Evaluación de Rendimiento del Entrenamiento Distribuido de Redes Neuronales Profundas en Plataformas Heterogéneas

ACCEDER A LA PUBLICACIÓN: Dialnet

Moreno Álvarez, Sergio; Paoletti Ávila, Mercedes Eugenia; Haut Hurtado, Juan Mario; Rico Gallego, Juan Antonio; Díaz Martín, Juan Carlos

2019 Avances en Arquitectura y Tecnología de Computadores: Actas de Jornadas SARTECO, Cáceres, 18 a 20 de septiembre de 2019|

ISBN

9788409121274

AUTORES DE LA UEX

Juan Mario Haut Hurtado
Juan Carlos Díaz Martín
Juan Antonio Rico Gallego

OTRAS PUBLICACIONES DE INTERÉS

Usando Minix 1.5 Como Herramienta Didáctica En La Enseñanza De Sistemas Operativos Microkernel
Spiking Neuron-Astrocyte Networks For Image Recognition
Cerebral Ischemia Detection Using Deep Learning Techniques
Spiking Neuron-Astrocyte Networks For Image Recognition
Cerebral Ischemia Detection Using Deep Learning Techniques
Kacnet: Kolmogorov-Arnold Convolution Network For Hyperspectral Anomaly Detection
Cerebral Ischemia Detection Using Deep Learning Techniques
Kacnet: Kolmogorov-Arnold Convolution Network For Hyperspectral Anomaly Detection
Redu-Net: Robust And Efficient Dynamic Unfolding Network For Abundance Estimation
Kacnet: Kolmogorov-Arnold Convolution Network For Hyperspectral Anomaly Detection
Redu-Net: Robust And Efficient Dynamic Unfolding Network For Abundance Estimation
A Novel Spectral-Spatial Attention Network For Zero-Shot Pansharpening
Redu-Net: Robust And Efficient Dynamic Unfolding Network For Abundance Estimation
A Novel Spectral-Spatial Attention Network For Zero-Shot Pansharpening
Pidlf+: A Novel Adaptive Pidlf For Forestry Height Mapping Based On Single Baseline Polinsar Data
A Novel Spectral-Spatial Attention Network For Zero-Shot Pansharpening
Pidlf+: A Novel Adaptive Pidlf For Forestry Height Mapping Based On Single Baseline Polinsar Data
Improving Energy Efficiency In A Data Center: Pue Analyzing And Tuning
Pidlf+: A Novel Adaptive Pidlf For Forestry Height Mapping Based On Single Baseline Polinsar Data
Improving Energy Efficiency In A Data Center: Pue Analyzing And Tuning
Comparison Of The Performance Of The Intel Quantum Simulator On Hpc Systems
Improving Energy Efficiency In A Data Center: Pue Analyzing And Tuning
Comparison Of The Performance Of The Intel Quantum Simulator On Hpc Systems
Comparison Of The Performance Of The Intel Quantum Simulator On Hpc Systems
Comparison Of The Performance Of The Intel Quantum Simulator On Hpc Systems
Comparison Of The Performance Of The Intel Quantum Simulator On Hpc Systems
Densemixermamba: Residual Mixing For Spectral-Spatial Hyperspectral Image Classification
Comparison Of The Performance Of The Intel Quantum Simulator On Hpc Systems
Densemixermamba: Residual Mixing For Spectral-Spatial Hyperspectral Image Classification
Distributed Parallel Hyperspectral Unmixing For Large-Scale Data In Spark Environments Via Geometric Distance
Densemixermamba: Residual Mixing For Spectral-Spatial Hyperspectral Image Classification
Distributed Parallel Hyperspectral Unmixing For Large-Scale Data In Spark Environments Via Geometric Distance
Pulse: A Modular Framework For Predictive Energy Efficiency In Heterogeneous Data Centers
Distributed Parallel Hyperspectral Unmixing For Large-Scale Data In Spark Environments Via Geometric Distance
Pulse: A Modular Framework For Predictive Energy Efficiency In Heterogeneous Data Centers
Cross Hyperspectral And Lidar Attention Transformer: An Extended Self-Attention For Land Use And Land Cover Classification
Pulse: A Modular Framework For Predictive Energy Efficiency In Heterogeneous Data Centers
Cross Hyperspectral And Lidar Attention Transformer: An Extended Self-Attention For Land Use And Land Cover Classification
Federated Learning Meets Remote Sensing
Cross Hyperspectral And Lidar Attention Transformer: An Extended Self-Attention For Land Use And Land Cover Classification
Federated Learning Meets Remote Sensing
Self-Supervised Learning On Small In-Domain Datasets Can Overcome Supervised Learning In Remote Sensing
Federated Learning Meets Remote Sensing
Self-Supervised Learning On Small In-Domain Datasets Can Overcome Supervised Learning In Remote Sensing
Joint-Learning-Based Coded Aperture Compressive Temporal Imaging
Self-Supervised Learning On Small In-Domain Datasets Can Overcome Supervised Learning In Remote Sensing
Joint-Learning-Based Coded Aperture Compressive Temporal Imaging
Hash-Based Remote Sensing Image Retrieval
Joint-Learning-Based Coded Aperture Compressive Temporal Imaging
Hash-Based Remote Sensing Image Retrieval
Hyperspectral Image Analysis Using Cloud-Based Support Vector Machines
Hash-Based Remote Sensing Image Retrieval
Hyperspectral Image Analysis Using Cloud-Based Support Vector Machines
Analysis And Detection Of Melanoma Through Collective Intelligence With Ai
Hyperspectral Image Analysis Using Cloud-Based Support Vector Machines
Analysis And Detection Of Melanoma Through Collective Intelligence With Ai
An Abundance-Guided Attention Network For Hyperspectral Unmixing
Analysis And Detection Of Melanoma Through Collective Intelligence With Ai
An Abundance-Guided Attention Network For Hyperspectral Unmixing
Decentralized Mechanism For Edge Node Allocation In Access Network: An Experimental Evaluation
An Abundance-Guided Attention Network For Hyperspectral Unmixing
Decentralized Mechanism For Edge Node Allocation In Access Network: An Experimental Evaluation
Deep Robust Hashing Using Self-Distillation For Remote Sensing Image Retrieval
Decentralized Mechanism For Edge Node Allocation In Access Network: An Experimental Evaluation
Deep Robust Hashing Using Self-Distillation For Remote Sensing Image Retrieval
Correlation-Aware Averaging For Federated Learning In Remote Sensing Data Classification
Deep Robust Hashing Using Self-Distillation For Remote Sensing Image Retrieval
Correlation-Aware Averaging For Federated Learning In Remote Sensing Data Classification
Smcnet: Sparse-Inspired Masked Convolutional Network For Hyperspectral Anomaly Detection
Correlation-Aware Averaging For Federated Learning In Remote Sensing Data Classification
Smcnet: Sparse-Inspired Masked Convolutional Network For Hyperspectral Anomaly Detection
Deep Shared Proxy Construction Hashing For Cross-Modal Remote Sensing Image Fast Target Retrieval
Smcnet: Sparse-Inspired Masked Convolutional Network For Hyperspectral Anomaly Detection
Deep Shared Proxy Construction Hashing For Cross-Modal Remote Sensing Image Fast Target Retrieval
Transformer-Enhanced Cnn Based On Intensive Feature For Hyperspectral Unmixing
Deep Shared Proxy Construction Hashing For Cross-Modal Remote Sensing Image Fast Target Retrieval
Transformer-Enhanced Cnn Based On Intensive Feature For Hyperspectral Unmixing
Synergy Of Images: Multi-Image Fusion Empowering Super-Resolution In Remote Sensing
Transformer-Enhanced Cnn Based On Intensive Feature For Hyperspectral Unmixing
Synergy Of Images: Multi-Image Fusion Empowering Super-Resolution In Remote Sensing
Typical Mineral Abundance Estimation Of Chang'e-3 Yutu Rover With Hyperspectral Data Based On Diffusion Autoencoder Unmixing Model
Synergy Of Images: Multi-Image Fusion Empowering Super-Resolution In Remote Sensing
Typical Mineral Abundance Estimation Of Chang'e-3 Yutu Rover With Hyperspectral Data Based On Diffusion Autoencoder Unmixing Model
Enhancing Distributed Neural Network Training Through Node-Based Communications
Typical Mineral Abundance Estimation Of Chang'e-3 Yutu Rover With Hyperspectral Data Based On Diffusion Autoencoder Unmixing Model
Enhancing Distributed Neural Network Training Through Node-Based Communications
Performance Evaluation Of The Intel Quantum Simulator On The Lusitania Supercomputer
Enhancing Distributed Neural Network Training Through Node-Based Communications
Performance Evaluation Of The Intel Quantum Simulator On The Lusitania Supercomputer
Cloud-Based Analysis Of Large-Scale Hyperspectral Imagery For Oil Spill Detection
Performance Evaluation Of The Intel Quantum Simulator On The Lusitania Supercomputer
Cloud-Based Analysis Of Large-Scale Hyperspectral Imagery For Oil Spill Detection
Hashing For Retrieving Long-Tailed Distributed Remote Sensing Images
Cloud-Based Analysis Of Large-Scale Hyperspectral Imagery For Oil Spill Detection
Hashing For Retrieving Long-Tailed Distributed Remote Sensing Images
A Comprehensive Survey Of Imbalance Correction Techniques For Hyperspectral Data Classification
Hashing For Retrieving Long-Tailed Distributed Remote Sensing Images
A Comprehensive Survey Of Imbalance Correction Techniques For Hyperspectral Data Classification
Aatt-Cnn: Automatic Attention-Based Convolutional Neural Networks For Hyperspectral Image Classification
A Comprehensive Survey Of Imbalance Correction Techniques For Hyperspectral Data Classification
Aatt-Cnn: Automatic Attention-Based Convolutional Neural Networks For Hyperspectral Image Classification
Qcircularstats: A Qgis-Plugin For Evaluation Bidimensional Data By Circular Statistics
Aatt-Cnn: Automatic Attention-Based Convolutional Neural Networks For Hyperspectral Image Classification
Qcircularstats: A Qgis-Plugin For Evaluation Bidimensional Data By Circular Statistics
Orthogonal Projection For Anomaly Detection In Networking Datasets
Qcircularstats: A Qgis-Plugin For Evaluation Bidimensional Data By Circular Statistics
Orthogonal Projection For Anomaly Detection In Networking Datasets
Novel Spectral Loss Function For Unsupervised Hyperspectral Image Segmentation
Orthogonal Projection For Anomaly Detection In Networking Datasets
Novel Spectral Loss Function For Unsupervised Hyperspectral Image Segmentation
Detection Of Cerebral Ischaemia Using Transfer Learning Techniques
Novel Spectral Loss Function For Unsupervised Hyperspectral Image Segmentation
Detection Of Cerebral Ischaemia Using Transfer Learning Techniques
Cloud Implementation Of Extreme Learning Machine For Hyperspectral Image Classification
Detection Of Cerebral Ischaemia Using Transfer Learning Techniques
Cloud Implementation Of Extreme Learning Machine For Hyperspectral Image Classification
Parameter-Free Attention Network For Spectral-Spatial Hyperspectral Image Classification
Cloud Implementation Of Extreme Learning Machine For Hyperspectral Image Classification
Parameter-Free Attention Network For Spectral-Spatial Hyperspectral Image Classification
Cit: Content-Invariant Translation With Hybrid Attention Mechanism For Unsupervised Change Detection
Parameter-Free Attention Network For Spectral-Spatial Hyperspectral Image Classification
Cit: Content-Invariant Translation With Hybrid Attention Mechanism For Unsupervised Change Detection
Background-Guided Deformable Convolutional Autoencoder For Hyperspectral Anomaly Detection
Cit: Content-Invariant Translation With Hybrid Attention Mechanism For Unsupervised Change Detection
Background-Guided Deformable Convolutional Autoencoder For Hyperspectral Anomaly Detection
Deep Unrolling Network With Active Dictionary Learning For Hyperspectral Anomaly Detection
Background-Guided Deformable Convolutional Autoencoder For Hyperspectral Anomaly Detection
Deep Unrolling Network With Active Dictionary Learning For Hyperspectral Anomaly Detection
Central Cohesion Gradual Hashing For Remote Sensing Image Retrieval
Deep Unrolling Network With Active Dictionary Learning For Hyperspectral Anomaly Detection
Central Cohesion Gradual Hashing For Remote Sensing Image Retrieval
Spectral-Spatial Morphological Attention Transformer For Hyperspectral Image Classification
Central Cohesion Gradual Hashing For Remote Sensing Image Retrieval
Spectral-Spatial Morphological Attention Transformer For Hyperspectral Image Classification
Model-Based Selection Of Optimal Mpi Broadcast Algorithms For Multi-Core Clusters
Spectral-Spatial Morphological Attention Transformer For Hyperspectral Image Classification
Model-Based Selection Of Optimal Mpi Broadcast Algorithms For Multi-Core Clusters
Heterogeneous Gradient Computing Optimization For Scalable Deep Neural Networks
Model-Based Selection Of Optimal Mpi Broadcast Algorithms For Multi-Core Clusters
Heterogeneous Gradient Computing Optimization For Scalable Deep Neural Networks
Pycircularstats: A Python-Based Tool For Remote Sensing Circular Statistics And Graphical Analysis
Heterogeneous Gradient Computing Optimization For Scalable Deep Neural Networks
Pycircularstats: A Python-Based Tool For Remote Sensing Circular Statistics And Graphical Analysis
Optimizing Distributed Deep Learning In Heterogeneous Computing Platforms For Remote Sensing Data Classification
Pycircularstats: A Python-Based Tool For Remote Sensing Circular Statistics And Graphical Analysis
Optimizing Distributed Deep Learning In Heterogeneous Computing Platforms For Remote Sensing Data Classification
Adaptive Dictionary Construction For Hyperspectral Anomaly Detection Based On Collaborative Representation
Optimizing Distributed Deep Learning In Heterogeneous Computing Platforms For Remote Sensing Data Classification
Adaptive Dictionary Construction For Hyperspectral Anomaly Detection Based On Collaborative Representation
A New 3d Convolution Network For Hyperspectral Unmixing
Adaptive Dictionary Construction For Hyperspectral Anomaly Detection Based On Collaborative Representation
A New 3d Convolution Network For Hyperspectral Unmixing
Bi-Dimensional Vector Data Analysis Of Positional Accuracy Of Landsat-8 Image With Pycircularstats
A New 3d Convolution Network For Hyperspectral Unmixing
Bi-Dimensional Vector Data Analysis Of Positional Accuracy Of Landsat-8 Image With Pycircularstats
Deep Attention-Driven Hsi Scene Classification Based On Inverted Dot-Product
Bi-Dimensional Vector Data Analysis Of Positional Accuracy Of Landsat-8 Image With Pycircularstats
Deep Attention-Driven Hsi Scene Classification Based On Inverted Dot-Product
A New Deep Convolutional Network For Effective Hyperspectral Unmixing
Deep Attention-Driven Hsi Scene Classification Based On Inverted Dot-Product
A New Deep Convolutional Network For Effective Hyperspectral Unmixing
On Training Set Selection In Spatial Deep Learning
A New Deep Convolutional Network For Effective Hyperspectral Unmixing
On Training Set Selection In Spatial Deep Learning
Hyperspectral Anomaly Detection With Relaxed Collaborative Representation
On Training Set Selection In Spatial Deep Learning
Hyperspectral Anomaly Detection With Relaxed Collaborative Representation
Remote Sensing Image Classification Using Cnns With Balanced Gradient For Distributed Heterogeneous Computing
Hyperspectral Anomaly Detection With Relaxed Collaborative Representation
Remote Sensing Image Classification Using Cnns With Balanced Gradient For Distributed Heterogeneous Computing
Fast Orthogonal Projection For Hyperspectral Unmixing
Remote Sensing Image Classification Using Cnns With Balanced Gradient For Distributed Heterogeneous Computing
Fast Orthogonal Projection For Hyperspectral Unmixing
Efficient Semantic Segmentation Of Hyperspectral Images Using Adaptable Rectangular Convolution
Fast Orthogonal Projection For Hyperspectral Unmixing
Efficient Semantic Segmentation Of Hyperspectral Images Using Adaptable Rectangular Convolution
Endmember Estimation From Hyperspectral Images Using Geometric Distances
Efficient Semantic Segmentation Of Hyperspectral Images Using Adaptable Rectangular Convolution
Endmember Estimation From Hyperspectral Images Using Geometric Distances
Multiple Attention-Guided Capsule Networks For Hyperspectral Image Classification
Endmember Estimation From Hyperspectral Images Using Geometric Distances
Multiple Attention-Guided Capsule Networks For Hyperspectral Image Classification
Separable Attention Network In Single- And Mixed-Precision Floating Point For Land-Cover Classification Of Remote Sensing Images
Multiple Attention-Guided Capsule Networks For Hyperspectral Image Classification
Separable Attention Network In Single- And Mixed-Precision Floating Point For Land-Cover Classification Of Remote Sensing Images
Generative Adversarial Minority Oversampling For Spectral-Spatial Hyperspectral Image Classification
Separable Attention Network In Single- And Mixed-Precision Floating Point For Land-Cover Classification Of Remote Sensing Images
Generative Adversarial Minority Oversampling For Spectral-Spatial Hyperspectral Image Classification
Gpu-Friendly Neural Networks For Remote Sensing Scene Classification
Generative Adversarial Minority Oversampling For Spectral-Spatial Hyperspectral Image Classification
Gpu-Friendly Neural Networks For Remote Sensing Scene Classification
Classification Of Maps On A Finite Set Under Permutation
Gpu-Friendly Neural Networks For Remote Sensing Scene Classification
Classification Of Maps On A Finite Set Under Permutation
Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
Classification Of Maps On A Finite Set Under Permutation
Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
Ghostnet For Hyperspectral Image Classification
Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
Ghostnet For Hyperspectral Image Classification
Adaptable Convolutional Network For Hyperspectral Image Classification
Ghostnet For Hyperspectral Image Classification
Adaptable Convolutional Network For Hyperspectral Image Classification
Distributed Deep Learning For Remote Sensing Data Interpretation
Adaptable Convolutional Network For Hyperspectral Image Classification
Distributed Deep Learning For Remote Sensing Data Interpretation
Deep Mixed Precision For Hyperspectral Image Classification
Distributed Deep Learning For Remote Sensing Data Interpretation
Deep Mixed Precision For Hyperspectral Image Classification
U-Img2dsm: Unpaired Simulation Of Digital Surface Models With Generative Adversarial Networks
Deep Mixed Precision For Hyperspectral Image Classification
U-Img2dsm: Unpaired Simulation Of Digital Surface Models With Generative Adversarial Networks
Flop-Reduction Through Memory Allocations Within Cnn For Hyperspectral Image Classification
U-Img2dsm: Unpaired Simulation Of Digital Surface Models With Generative Adversarial Networks
Flop-Reduction Through Memory Allocations Within Cnn For Hyperspectral Image Classification
Heterogeneous Model Parallelism For Deep Neural Networks
Flop-Reduction Through Memory Allocations Within Cnn For Hyperspectral Image Classification
Heterogeneous Model Parallelism For Deep Neural Networks
A Recommendation System For Electronic Health Records In The Context Of The Hope Project
Heterogeneous Model Parallelism For Deep Neural Networks
A Recommendation System For Electronic Health Records In The Context Of The Hope Project
Multibranch Selective Kernel Networks For Hyperspectral Image Classification
A Recommendation System For Electronic Health Records In The Context Of The Hope Project
Multibranch Selective Kernel Networks For Hyperspectral Image Classification
A New Max-Min Convolutional Network For Hyperspectral Image Classification
Multibranch Selective Kernel Networks For Hyperspectral Image Classification
A New Max-Min Convolutional Network For Hyperspectral Image Classification
Endmember Estimation With Maximum Distance Analysis
A New Max-Min Convolutional Network For Hyperspectral Image Classification
Endmember Estimation With Maximum Distance Analysis
Multiple Incremental Kernel Convolution For Land Cover Classification Of Remotely Sensed Images
Endmember Estimation With Maximum Distance Analysis
Multiple Incremental Kernel Convolution For Land Cover Classification Of Remotely Sensed Images
Adapting Kernels For Hyperspectral Image Classification
Multiple Incremental Kernel Convolution For Land Cover Classification Of Remotely Sensed Images
Adapting Kernels For Hyperspectral Image Classification
Morphological Convolutional Neural Networks For Hyperspectral Image Classification
Adapting Kernels For Hyperspectral Image Classification
Morphological Convolutional Neural Networks For Hyperspectral Image Classification
Sicodef² Net: Siamese Convolution Deconvolution Feature Fusion Network For One-Shot Classification
Morphological Convolutional Neural Networks For Hyperspectral Image Classification
Sicodef² Net: Siamese Convolution Deconvolution Feature Fusion Network For One-Shot Classification
Analysis Of Remotely Sensed Images Through Social Media
Sicodef² Net: Siamese Convolution Deconvolution Feature Fusion Network For One-Shot Classification
Analysis Of Remotely Sensed Images Through Social Media
On The Evaluation Of Machine Learning Algorithms For Hyperspectral Image Classification On A Heterogeneous Computing Device
Analysis Of Remotely Sensed Images Through Social Media
On The Evaluation Of Machine Learning Algorithms For Hyperspectral Image Classification On A Heterogeneous Computing Device
Studying The Students' Learning In Lot@uned
On The Evaluation Of Machine Learning Algorithms For Hyperspectral Image Classification On A Heterogeneous Computing Device
Studying The Students' Learning In Lot@uned
Analyzing The Users’ Acceptance Of An Iot Cloud Platform Using The Utaut/tam Model
Studying The Students' Learning In Lot@uned
Analyzing The Users’ Acceptance Of An Iot Cloud Platform Using The Utaut/tam Model
Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
Analyzing The Users’ Acceptance Of An Iot Cloud Platform Using The Utaut/tam Model
Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
A Tool To Assess The Communication Cost Of Parallel Kernels On Heterogeneous Platforms
Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
A Tool To Assess The Communication Cost Of Parallel Kernels On Heterogeneous Platforms
Cloud Implementation Of Multinomial Logistic Regression For Uav Hyperspectral Images
A Tool To Assess The Communication Cost Of Parallel Kernels On Heterogeneous Platforms
Cloud Implementation Of Multinomial Logistic Regression For Uav Hyperspectral Images
Performance Evaluation Of Model-Driven Partitioning Algorithms For Data-Parallel Kernels On Heterogeneous Platforms
Cloud Implementation Of Multinomial Logistic Regression For Uav Hyperspectral Images
Performance Evaluation Of Model-Driven Partitioning Algorithms For Data-Parallel Kernels On Heterogeneous Platforms
Training Deep Neural Networks: A Static Load Balancing Approach
Performance Evaluation Of Model-Driven Partitioning Algorithms For Data-Parallel Kernels On Heterogeneous Platforms
Training Deep Neural Networks: A Static Load Balancing Approach
Scalable Recurrent Neural Network For Hyperspectral Image Classification
Training Deep Neural Networks: A Static Load Balancing Approach
Scalable Recurrent Neural Network For Hyperspectral Image Classification
Training Capsnets Via Active Learning For Hyperspectral Image Classification
Scalable Recurrent Neural Network For Hyperspectral Image Classification
Training Capsnets Via Active Learning For Hyperspectral Image Classification
Neighboring Region Dropout For Hyperspectral Image Classification
Training Capsnets Via Active Learning For Hyperspectral Image Classification
Neighboring Region Dropout For Hyperspectral Image Classification
A New Gpu Implementation Of Support Vector Machines For Fast Hyperspectral Image Classification
Neighboring Region Dropout For Hyperspectral Image Classification
A New Gpu Implementation Of Support Vector Machines For Fast Hyperspectral Image Classification
A Single Model Cnn For Hyperspectral Image Denoising
A New Gpu Implementation Of Support Vector Machines For Fast Hyperspectral Image Classification
A Single Model Cnn For Hyperspectral Image Denoising
Neural Ordinary Differential Equations For Hyperspectral Image Classification
A Single Model Cnn For Hyperspectral Image Denoising
Neural Ordinary Differential Equations For Hyperspectral Image Classification
Inference In Supervised Spectral Classifiers For On-Board Hyperspectral Imaging: An Overview
Neural Ordinary Differential Equations For Hyperspectral Image Classification
Inference In Supervised Spectral Classifiers For On-Board Hyperspectral Imaging: An Overview
Rotation Equivariant Convolutional Neural Networks For Hyperspectral Image Classification
Inference In Supervised Spectral Classifiers For On-Board Hyperspectral Imaging: An Overview
Rotation Equivariant Convolutional Neural Networks For Hyperspectral Image Classification
An Adaptive Subdivision Method For Root Finding Of Univariate Polynomials
Rotation Equivariant Convolutional Neural Networks For Hyperspectral Image Classification
An Adaptive Subdivision Method For Root Finding Of Univariate Polynomials
Programming Models And Runtimes
An Adaptive Subdivision Method For Root Finding Of Univariate Polynomials
Programming Models And Runtimes
A Survey Of Communication Performance Models For High-Performance Computing
Programming Models And Runtimes
A Survey Of Communication Performance Models For High-Performance Computing
Análisis De La Motivación, La Satisfacción Y El Esfuerzo En La Implantación De Un Grado Bilingüe
A Survey Of Communication Performance Models For High-Performance Computing
Análisis De La Motivación, La Satisfacción Y El Esfuerzo En La Implantación De Un Grado Bilingüe
Analytical Communication Performance Models As A Metric In The Partitioning Of Data-Parallel Kernels On Heterogeneous Platforms
Análisis De La Motivación, La Satisfacción Y El Esfuerzo En La Implantación De Un Grado Bilingüe
Analytical Communication Performance Models As A Metric In The Partitioning Of Data-Parallel Kernels On Heterogeneous Platforms
Efficient Convolutional Neural Network For Spectral-Spatial Hyperspectral Denoising
Analytical Communication Performance Models As A Metric In The Partitioning Of Data-Parallel Kernels On Heterogeneous Platforms
Efficient Convolutional Neural Network For Spectral-Spatial Hyperspectral Denoising
Gpu Parallel Implementation Of Dual-Depth Sparse Probabilistic Latent Semantic Analysis For Hyperspectral Unmixing
Efficient Convolutional Neural Network For Spectral-Spatial Hyperspectral Denoising
Gpu Parallel Implementation Of Dual-Depth Sparse Probabilistic Latent Semantic Analysis For Hyperspectral Unmixing
Solving Deep Neural Networks With Ordinary Differential Equations For Remotely Sensed Hyperspectral Image Classification
Gpu Parallel Implementation Of Dual-Depth Sparse Probabilistic Latent Semantic Analysis For Hyperspectral Unmixing
Solving Deep Neural Networks With Ordinary Differential Equations For Remotely Sensed Hyperspectral Image Classification
Open Multi-Processing Acceleration For Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis
Solving Deep Neural Networks With Ordinary Differential Equations For Remotely Sensed Hyperspectral Image Classification
Open Multi-Processing Acceleration For Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis
Accessibility-Free Active Learning For Hyperspectral Image Classification
Open Multi-Processing Acceleration For Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis
Accessibility-Free Active Learning For Hyperspectral Image Classification
Low-High-Power Consumption Architectures For Deep-Learning Models Applied To Hyperspectral Image Classification
Accessibility-Free Active Learning For Hyperspectral Image Classification
Low-High-Power Consumption Architectures For Deep-Learning Models Applied To Hyperspectral Image Classification
Capsule Networks For Hyperspectral Image Classification
Low-High-Power Consumption Architectures For Deep-Learning Models Applied To Hyperspectral Image Classification
Capsule Networks For Hyperspectral Image Classification
Deep Pyramidal Residual Networks For Spectral-Spatial Hyperspectral Image Classification
Capsule Networks For Hyperspectral Image Classification
Deep Pyramidal Residual Networks For Spectral-Spatial Hyperspectral Image Classification
Feature Extraction With Multiscale Covariance Maps For Hyperspectral Image Classification
Deep Pyramidal Residual Networks For Spectral-Spatial Hyperspectral Image Classification
Feature Extraction With Multiscale Covariance Maps For Hyperspectral Image Classification
A Comparative Study Of Techniques For Hyperspectral Image Classification
Feature Extraction With Multiscale Covariance Maps For Hyperspectral Image Classification
A Comparative Study Of Techniques For Hyperspectral Image Classification
Cloud Deep Networks For Hyperspectral Image Analysis
A Comparative Study Of Techniques For Hyperspectral Image Classification
Cloud Deep Networks For Hyperspectral Image Analysis
Deep Learning Classifiers For Hyperspectral Imaging: A Review
Cloud Deep Networks For Hyperspectral Image Analysis
Deep Learning Classifiers For Hyperspectral Imaging: A Review
Hyperspectral Image Classification Using Random Occlusion Data Augmentation
Deep Learning Classifiers For Hyperspectral Imaging: A Review
Hyperspectral Image Classification Using Random Occlusion Data Augmentation
Remote Sensing Image Superresolution Using Deep Residual Channel Attention
Hyperspectral Image Classification Using Random Occlusion Data Augmentation
Remote Sensing Image Superresolution Using Deep Residual Channel Attention
Visual Attention-Driven Hyperspectral Image Classification
Remote Sensing Image Superresolution Using Deep Residual Channel Attention
Visual Attention-Driven Hyperspectral Image Classification
Remote Sensing Single-Image Superresolution Based On A Deep Compendium Model
Visual Attention-Driven Hyperspectral Image Classification
Remote Sensing Single-Image Superresolution Based On A Deep Compendium Model
Nueva Implementación Paralela En Gpus Del Algoritmo Plsa Para Desmezclado De Imágenes Hiperespectrales
Remote Sensing Single-Image Superresolution Based On A Deep Compendium Model
Nueva Implementación Paralela En Gpus Del Algoritmo Plsa Para Desmezclado De Imágenes Hiperespectrales
Evaluación De Rendimiento Del Entrenamiento Distribuido De Redes Neuronales Profundas En Plataformas Heterogéneas
Nueva Implementación Paralela En Gpus Del Algoritmo Plsa Para Desmezclado De Imágenes Hiperespectrales
Evaluación De Rendimiento Del Entrenamiento Distribuido De Redes Neuronales Profundas En Plataformas Heterogéneas
A New Deep Generative Network For Unsupervised Remote Sensing Single-Image Super-Resolution
Evaluación De Rendimiento Del Entrenamiento Distribuido De Redes Neuronales Profundas En Plataformas Heterogéneas
A New Deep Generative Network For Unsupervised Remote Sensing Single-Image Super-Resolution
Active Learning With Convolutional Neural Networks For Hyperspectral Image Classification Using A New Bayesian Approach
A New Deep Generative Network For Unsupervised Remote Sensing Single-Image Super-Resolution
Active Learning With Convolutional Neural Networks For Hyperspectral Image Classification Using A New Bayesian Approach
A New Deep Convolutional Neural Network For Fast Hyperspectral Image Classification
Active Learning With Convolutional Neural Networks For Hyperspectral Image Classification Using A New Bayesian Approach
A New Deep Convolutional Neural Network For Fast Hyperspectral Image Classification
Evaluation Of Different Regularization Methods For The Extreme Learning Machine Applied To Hyperspectral Images
A New Deep Convolutional Neural Network For Fast Hyperspectral Image Classification
Evaluation Of Different Regularization Methods For The Extreme Learning Machine Applied To Hyperspectral Images
An Investigation On Self-Normalized Deep Neural Networks For Hyperspectral Image Classification
Evaluation Of Different Regularization Methods For The Extreme Learning Machine Applied To Hyperspectral Images
An Investigation On Self-Normalized Deep Neural Networks For Hyperspectral Image Classification
Inter-Sensor Regression Analysis For Operational Sentinel-2 And Sentinel-3 Data Products
An Investigation On Self-Normalized Deep Neural Networks For Hyperspectral Image Classification
Inter-Sensor Regression Analysis For Operational Sentinel-2 And Sentinel-3 Data Products
Fast Dimensionality Reduction And Classification Of Hyperspectral Images With Extreme Learning Machines
Inter-Sensor Regression Analysis For Operational Sentinel-2 And Sentinel-3 Data Products
Fast Dimensionality Reduction And Classification Of Hyperspectral Images With Extreme Learning Machines
Deep & Dense Convolutional Neural Network For Hyperspectral Image Classification
Fast Dimensionality Reduction And Classification Of Hyperspectral Images With Extreme Learning Machines
Deep & Dense Convolutional Neural Network For Hyperspectral Image Classification
Multimodal Probabilistic Latent Semantic Analysis For Sentinel-1 And Sentinel-2 Image Fusion
Deep & Dense Convolutional Neural Network For Hyperspectral Image Classification
Multimodal Probabilistic Latent Semantic Analysis For Sentinel-1 And Sentinel-2 Image Fusion
Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
Multimodal Probabilistic Latent Semantic Analysis For Sentinel-1 And Sentinel-2 Image Fusion
Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
Análisis De La Motivación, La Satisfacción Y El Esfuerzo En La Implantación De Un Grado Bilingüe
Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
Análisis De La Motivación, La Satisfacción Y El Esfuerzo En La Implantación De Un Grado Bilingüe
Multicore Implementation Of The Multi-Scale Adaptive Deep Pyramid Matching Model For Remotely Sensed Image Classification
Análisis De La Motivación, La Satisfacción Y El Esfuerzo En La Implantación De Un Grado Bilingüe
Multicore Implementation Of The Multi-Scale Adaptive Deep Pyramid Matching Model For Remotely Sensed Image Classification
Onboard Payload-Data Dimensionality Reduction
Multicore Implementation Of The Multi-Scale Adaptive Deep Pyramid Matching Model For Remotely Sensed Image Classification
Onboard Payload-Data Dimensionality Reduction
Cloud Implementation Of The K-Means Algorithm For Hyperspectral Image Analysis
Onboard Payload-Data Dimensionality Reduction
Cloud Implementation Of The K-Means Algorithm For Hyperspectral Image Analysis
Formal Modeling And Performance Evaluation Of A Run-Time Rank Remapping Technique In Broadcast, Allgather And Allreduce Mpi Collective Operations
Cloud Implementation Of The K-Means Algorithm For Hyperspectral Image Analysis
Formal Modeling And Performance Evaluation Of A Run-Time Rank Remapping Technique In Broadcast, Allgather And Allreduce Mpi Collective Operations
Model-Based Estimation Of The Communication Cost Of Hybrid Data-Parallel Applications On Heterogeneous Clusters
Formal Modeling And Performance Evaluation Of A Run-Time Rank Remapping Technique In Broadcast, Allgather And Allreduce Mpi Collective Operations
Model-Based Estimation Of The Communication Cost Of Hybrid Data-Parallel Applications On Heterogeneous Clusters
A Navigation Agent For Mobile Manipulators
Model-Based Estimation Of The Communication Cost Of Hybrid Data-Parallel Applications On Heterogeneous Clusters
A Navigation Agent For Mobile Manipulators
Extending Τ-Lop To Model Concurrent Mpi Communications In Multicore Clusters
A Navigation Agent For Mobile Manipulators
Extending Τ-Lop To Model Concurrent Mpi Communications In Multicore Clusters
Exascale Machines Require New Programming Paradigms And Runtimes
Extending Τ-Lop To Model Concurrent Mpi Communications In Multicore Clusters
Exascale Machines Require New Programming Paradigms And Runtimes
On Interface Design For Distributed Signal Processing
Exascale Machines Require New Programming Paradigms And Runtimes
On Interface Design For Distributed Signal Processing
Fast Formant Estimation By Complex Analysis Of Lpc Coefficients
On Interface Design For Distributed Signal Processing
Fast Formant Estimation By Complex Analysis Of Lpc Coefficients
El Máster En Ingeniería Informática: Una Oportunidad Para La Colaboración De La Universidad Con Empresas Y Centros Tecnológicos
Fast Formant Estimation By Complex Analysis Of Lpc Coefficients
El Máster En Ingeniería Informática: Una Oportunidad Para La Colaboración De La Universidad Con Empresas Y Centros Tecnológicos
Modeling Contention And Mapping Effects In Multi-Core Clusters
El Máster En Ingeniería Informática: Una Oportunidad Para La Colaboración De La Universidad Con Empresas Y Centros Tecnológicos
Modeling Contention And Mapping Effects In Multi-Core Clusters
Τ-Lop: Modeling Performance Of Shared Memory Mpi
Modeling Contention And Mapping Effects In Multi-Core Clusters
Τ-Lop: Modeling Performance Of Shared Memory Mpi
Finding The Number Of Roots Of A Polynomial In A Plane Region Using The Winding Number
Τ-Lop: Modeling Performance Of Shared Memory Mpi
Finding The Number Of Roots Of A Polynomial In A Plane Region Using The Winding Number
On The Performance Of Concurrent Transfers In Collective Algorithms
Finding The Number Of Roots Of A Polynomial In A Plane Region Using The Winding Number
On The Performance Of Concurrent Transfers In Collective Algorithms
Improving Collectives By User Buffer Relocation
On The Performance Of Concurrent Transfers In Collective Algorithms
Improving Collectives By User Buffer Relocation
A Geometric Algorithm For Winding Number Computation With Complexity Analysis
Improving Collectives By User Buffer Relocation
A Geometric Algorithm For Winding Number Computation With Complexity Analysis
Performance Evaluation Of Thread-Based Mpi In Shared Memory
A Geometric Algorithm For Winding Number Computation With Complexity Analysis
Performance Evaluation Of Thread-Based Mpi In Shared Memory
Issues On Building An Mpi Cluster On Microblaze
Performance Evaluation Of Thread-Based Mpi In Shared Memory
Issues On Building An Mpi Cluster On Microblaze
An Mpi-1 Compliant Thread-Based Implementation
Issues On Building An Mpi Cluster On Microblaze
An Mpi-1 Compliant Thread-Based Implementation
A Network Service For Dsp Multicomputers
An Mpi-1 Compliant Thread-Based Implementation
A Network Service For Dsp Multicomputers
A Pthreads-Based Mpi-1 Implementation For Mmu-Less Machines
A Network Service For Dsp Multicomputers
A Pthreads-Based Mpi-1 Implementation For Mmu-Less Machines
Qatris Mediabase: Almacenamiento, Análisis Y Recuperación Basada En La Semántica De Documentos Multimedia
A Pthreads-Based Mpi-1 Implementation For Mmu-Less Machines
Qatris Mediabase: Almacenamiento, Análisis Y Recuperación Basada En La Semántica De Documentos Multimedia
An Mpi Implementation For Distributed Signal Processing
Qatris Mediabase: Almacenamiento, Análisis Y Recuperación Basada En La Semántica De Documentos Multimedia
An Mpi Implementation For Distributed Signal Processing
Parallel Root-Finding Method For Lpc Analysis Of Speech
An Mpi Implementation For Distributed Signal Processing
Parallel Root-Finding Method For Lpc Analysis Of Speech
Aprendiendo Multiprocesamiento Simétrico Con Minix
Parallel Root-Finding Method For Lpc Analysis Of Speech
Aprendiendo Multiprocesamiento Simétrico Con Minix
Porting P4 To Digital Signal Processing Platforms
Aprendiendo Multiprocesamiento Simétrico Con Minix
Porting P4 To Digital Signal Processing Platforms
Ponnhi: Una Nueva Arquitectura Microkernel Pthreads En Espacio De Usuario
Porting P4 To Digital Signal Processing Platforms
Ponnhi: Una Nueva Arquitectura Microkernel Pthreads En Espacio De Usuario
Extendiendo Minix A Arquitecturas Smp
Ponnhi: Una Nueva Arquitectura Microkernel Pthreads En Espacio De Usuario
Extendiendo Minix A Arquitecturas Smp
Robust Voice Recognition As A Distributed Service
Extendiendo Minix A Arquitecturas Smp
Robust Voice Recognition As A Distributed Service
Diarca: A Component Approach To Voice Recognition
Robust Voice Recognition As A Distributed Service
Diarca: A Component Approach To Voice Recognition
Distributing Voice Processing Over Dsp Multicomputers: The Role Of Posix 1003.13
Diarca: A Component Approach To Voice Recognition
Distributing Voice Processing Over Dsp Multicomputers: The Role Of Posix 1003.13
Building Tcl-Tk Guis For Hrt-Hood Systems
Distributing Voice Processing Over Dsp Multicomputers: The Role Of Posix 1003.13
Building Tcl-Tk Guis For Hrt-Hood Systems
Sistemas Operativos: Teoría Y Práctica
Building Tcl-Tk Guis For Hrt-Hood Systems
Sistemas Operativos: Teoría Y Práctica
Usando Minix 1.5 Como Herramienta Didáctica En La Enseñanza De Sistemas Operativos Microkernel
Sistemas Operativos: Teoría Y Práctica
Usando Minix 1.5 Como Herramienta Didáctica En La Enseñanza De Sistemas Operativos Microkernel
Spiking Neuron-Astrocyte Networks For Image Recognition
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