Year  Title  Author 
2017

Improving LongTerm Learning of Model Reference Adaptive Controllers for Flight Applications: A Sparse Neural Network Approach 
SA Nivison, P Khargonekar

2017

A Study of Convolutional Sparse Feature Learning for Human Age Estimate 
X Wang, R Li, Y Zhou, C Kambhamettu

2017

Recognition of fatigue status of pilots based on deep sparse autoencoding network 
H Shuang, W Chuanfeng, W Qi

2017

Unsupervised Transfer Learning via MultiScale Convolutional Sparse Coding for Biomedical Applications 
H Chang, J Han, C Zhong, A Snijders, JH Mao

2017

Deep Ensemble Learning of Sparse Regression Models for Brain Disease Diagnosis 
HI Suk, SW Lee, D Shen

2017

Stacked Sparse AutoencoderBased Deep Network for Fault Diagnosis of Rotating Machinery 
Y Qi, C Shen, D Wang, J Shi, X Jiang, Z Zhu

2017

Deep Sparse Coding for NonIntrusive Load Monitoring 
S Singh, A Majumdar

2017

Object Tracking via Inverse Sparse Representation and Convolutional Networks 
H Wang, H Ge

2017

TensorGenerative Adversarial Network with Twodimensional Sparse Coding: Application to Realtime Indoor Localization 
C Zhu, L Xu, XY Liu, F Qian

2017

Constructing a Deep Regression Model Utilizing Cascaded Sparse Autoencoders and Stochastic Gradient Descent 
A Moussavi

2017

AMPInspired Deep Networks for Sparse Linear Inverse Problems 
M Borgerding, P Schniter, S Rangan

2017

A Noisy Sparse Convolution Neural Network Based on Stacked Autoencoders 
Y Ding, X Zhang, J Tang

2017

Convergence analysis of BP neural networks via sparse response regularization 
J Wang, Y Wen, Z Ye, L Jian, H Chen

2017

Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons 
C Zhuang, Y Wang, D Yamins, X Hu

2017

Deep Learning for Rapid Sparse MR Fingerprinting Reconstruction 
O Cohen, B Zhu, MS Rosen

2017

Sparse representations based distributed attribute learning for person reidentification 
K Cheng, K Hui, Y Zhan, M Li

2017

Cell Detection with Deep Learning Accelerated by Sparse Kernel 
J Huang, Z Xu

2017

Model selection for sparse highdimensional learning 
PA Mattei

2017

Learning a Referenceless Stereopair Quality Engine with Deep Nonnegativity Constrained Sparse Autoencoder 
Q Jiang, F Shao, W Lin, G Jiang

2017

Sparse Inference Modules For Deep Learning 
PK Pilly, ND Stepp, N Srinivasa

2017

Local receptive field constrained stacked sparse autoencoder for classification of hyperspectral images 
X Wan, C Zhao

2017

Towards Enhancing Stacked Extreme Learning Machine With Sparse Autoencoder by Correntropy 
X Luo, Y Xu, W Wang, M Yuan, X Ban, Y Zhu, W Zhao

2017

iSSPC: Identifying Splicing Sites via PhysicalChemical Properties Using Deep Sparse AutoEncoder 
ZC Xu, P Wang, WR Qiu, X Xiao

2017

DNN based detection of Pronunciation Erroneous Tendency in data sparse condition 
Y Gao, Y Xie, J Lin, J Zhang

2017

Layerwise feature selection in Stacked Sparse AutoEncoder for tumor type prediction 
V Singh, N Baranwal, RK Sevakula, NK Verma, Y Cui

2017

Improving Efficiency in Sparse Learning with the Feedforward Inhibitory Motif 
Z Xu, S Skorheim, M Tu, V Berisha, S Yu, J Seo

2017

MultiLayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning 
J Sulam, V Papyan, Y Romano, M Elad

2017

Direct Load Control of Thermostatically Controlled Loads Based on Sparse Observations Using Deep Reinforcement Learning 
F Ruelens, BJ Claessens, P Vrancx, F Spiessens

2017

NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps 
A Aimar, H Mostafa, E Calabrese, A Rios

2017

Submanifold Sparse Convolutional Networks 
B Graham, L van der Maaten

2017

Radar HRRP recognition based on sparse denoising autoencoder and multilayer perceptron deep model 
H Yan, Z Zhang, G Xiong, W Yu

2017

Deep Learning on Sparse Manifolds for Faster Object Segmentation 
JC Nascimento, G Carneiro

2017

Spectral–spatial feature learning for hyperspectral imagery classification using deep stacked sparse autoencoder 
G Abdi, F Samadzadegan, P Reinartz

2017

Robust visual tracking via multiscale deep sparse networks 
X Wang, Z Hou, W Yu, Y Xue, Z Jin, B Dai

2017

SingleChannel Speech Enhancement Based on Sparse Regressive Deep Neural Network 
H Sun, S Li

2017

BioInspired Spiking Convolutional Network Using LayerWise Sparse Coding And Stdp Learning 
A Tavanaei, AS Maida

2017

Reducing Covariate Factors Of Gait Recognition Using Feature Selection, DictionaryBased Sparse Coding, And Deep Learning 
MN Alotaibi

2017

Learning Compositional Sparse Bimodal Models 
S Kumar, V Dhiman, PA Koch, JJ Corso

2017

Video Representation and Coding Using a Sparse Steered MixtureofExperts Network 
L Lange, R Verhack, T Sikora

2017

Spectral–spatial classification of hyperspectral images using trilateral filter and stacked sparse autoencoder 
C Zhao, X Wan, G Zhao, Y Yan

2017

Group Sparse Autoencoder 
A Sankaran, M Vatsa, R Singh, A Majumdar

2017

Building Extraction Based on an Optimized Stacked Sparse Autoencoder of Structure and Training Samples Using LIDAR DSM and Optical Images 
Y Yan, Z Tan, N Su, C Zhao

2017

Local and Global Sparse Representation for NoReference Quality Assessment of Stereoscopic Images 
F Li, F Shao, Q Jiang, R Fu, G Jiang, M Yu

2017

Sparse Bayesian Reinforcement Learning 
M Lee

2017

Sparse Wavelet AutoEncoders for Image Classification 
S Hassairi, R Ejbali, M Zaied

2017

Leveraging Sparse and Dense Feature Combinations for Sentiment Classification 
T Yu, C Hidey, O Rambow, K McKeown

2017

Dense and Sparse Labeling with MultiDimensional Features for Saliency Detection 
Y Yuan, C Li, J Kim, W Cai, DD Feng

2017

Combining Normal Sparse into Discriminative Deep Belief Networks 
F Khalid, MI Fanany

2017

14.3 A 28nm SoC with a 1.2 GHz 568nJ/prediction sparse deepneuralnetwork engine with> 0.1 timing error rate tolerance for IoT applications 
PN Whatmough, SK Lee, H Lee, S Rama, D Brooks

2017

Sparse DiffusionConvolutional Neural Networks 
J Atwood, S Pal, D Towsley, A Swami

2017

Accelerating Training of Deep Neural Networks via Sparse Edge Processing 
S Dey, Y Shao, KM Chugg, PA Beerel

2017

3D Semantic Segmentation with Submanifold Sparse Convolutional Networks 
B Graham, M Engelcke, L van der Maaten

2017

Deep Sparse Subspace Clustering 
X Peng, J Feng, S Xiao, J Lu, Z Yi, S Yan

2017

iDHSsPseTNC: Identifying DNase I Hypersensitive Sites with Pseuo Trinucleotide Component by Deep Sparse AutoEncoder 
ZC Xu, SY Jiang, WR Qiu, YC Liu, X Xiao

2017

A New Deep Transfer Learning Based on Sparse AutoEncoder for Fault Diagnosis 
L Wen, L Gao, X Li

2017

Sparse Deep Nonnegative Matrix Factorization 
Z Guo, S Zhang

2017

Weighted time series fault diagnosis based on a stacked sparse autoencoder 
F Lv, C Wen, M Liu, Z Bao

2017

Multiscale SuperpixelBased Sparse Representation for Hyperspectral Image Classification 
S Zhang, S Li, W Fu, L Fang

2017

Evolutionary Training of Sparse Artificial Neural Networks: A Network Science Perspective 
DC Mocanu, E Mocanu, P Stone, PH Nguyen

2017

Discriminative Transformation Learning for Fuzzy Sparse Subspace Clustering 
Z Wen, B Hou, Q Wu, L Jiao

2017

Automatic Modulation Classification Using Deep Learning based on Sparse Autoencoders with Nonnegativity Constraints 
A Ali, F Yangyu

2017

The Brain's Computational Efficiency derives from using Sparse Distributed Representations 
R Rinkus

2017

Segmenting Atrial Fibrosis from Late GadoliniumEnhanced Cardiac MRI by DeepLearned Features with Stacked Sparse AutoEncoders 
S Haldar, E Nyktari, X Ye, G Slabaugh, T Wong

2017

Building Recurrent Networks by Unfolding Iterative Thresholding for Sequential Sparse Recovery 
S Wisdom, T Powers, J Pitton, L Atlas

2017

Deep Learning for Photoacoustic Tomography from Sparse Data 
S Antholzer, M Haltmeier, J Schwab

2017

Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network 
Z Chen, W Li

2017

Image Classification Based on Convolutional Denoising Sparse Autoencoder 
S Chena, H Liua, X Zenga, S Qiana, J Yub, W Guob

2017

Sparse Restricted Boltzmann Machine Based on Multiobjective Optimization 
Y Li, X Bai, X Liang, L Jiao

2017

Softmax regression based deep sparse autoencoder network for facial emotion recognition in humanrobot interaction 
L Chen, M Zhou, W Su, M Wu, J She, K Hirota

2017

Skill Transfer between Industrial Robots by Sparse learning 
K Lan

2017

Sparse filtering with the generalized lp/lq norm and its applications to the condition monitoring of rotating machinery 
X Jia, M Zhao, Y Di, P Li, J Lee

2017

SpatialSpectral Unsupervised Convolutional Sparse AutoEncoder Classifier for Hyperspectral Imagery 
X Han, Y Zhong, L Zhang

2017

Hyperspectral image feature extraction method based on sparse constraint convolutional neural network 
P Jia, M Zhang, W Yu, Y Shen

2017

A Classification Method for Moving Targets in the Wild Based on Microphone Array and Linear Sparse AutoEncoder 
F Guo, J Huang, X Zhang, X You, X Zu, Q Zhao, Y Ding

2017

SPARCNet: A Hardware Accelerator for Efficient Deployment of Sparse Convolutional Networks 
A Page, A Jafari, C Shea, T Mohsenin

2017

Nonredundant sparse feature extraction using autoencoders with receptive fields clustering 
BO Ayinde, JM Zurada

2017

Discriminant analysis via jointly L2, 1norm sparse tensor preserving embedding for image classification 
R Huang, C Liu, J Zhou

2017

Image Clustering Based on Deep Sparse Representations 
L Lv, D Zhao, Q Deng

2017

A Hybrid Algorithm of Extreme Learning Machine and Sparse AutoEncoder 
Y Lin, Y Liang, S Yoshida, X Feng, R Guan

2017

Crossdomain expression recognition based on sparse coding and transfer learning 
Y Yang, W Zhang, Y Huang

2017

Recognition and retrieval of sound events using sparse coding convolutional neural network 
CY Wang, A Santoso, S Mathulaprangsan, CC Chiang

2016

Deviant Learning Algorithm: Learning Sparse Mismatch Representations through Time and Space 
EN Osegi, VI Anireh

2016

Image superresolution reconstruction via RBMbased joint dictionary learning and sparse representation 
Z Zhang, A Liu, Q Lei

2016

Characterization and assessment of fabric smoothness appearance based on sparse coding 
P Xu, X Ding, X Wu, R Wang

2016

Collaborative Filtering with Stacked Denoising AutoEncoders and Sparse Inputs 
F Strub, J Mary

2016

Accelerating Convolutional Sparse Coding for Curvilinear Structures Segmentation by Refining SCIRDTS Filter Banks. 
R Annunziata, E Trucco

2016

Robust transfer learning in multirobot systems by using sparse autoencoder 
LV Utkin, SG Popov, YA Zhuk

2016

Deep Representations Based on Sparse AutoEncoder Networks for Face Spoofing Detection 
D Yang, J Lai, L Mei

2016

Sparse Representation and Deep Learning for Image and Video Reconstruction 
M Iliadis

2016

Sparse Factorization Layers for Neural Networks with Limited Supervision 
P Koch, JJ Corso

2016

A stacked sparse autoencoder based architecture for Punjabi and English spoken language classification using MFCC features 
V Arora, P Sood, KU Keshari

2016

Transformer fault diagnosis using continuous sparse autoencoder 
L Wang, X Zhao, J Pei, G Tang

2016

Deep Adaptive Network: An Efficient Deep Neural Network with Sparse Binary Connections 
X Zhou, S Li, K Qin, K Li, F Tang, S Hu, S Liu, Z Lin

2016

Using convolutional features and a sparse autoencoder for landuse scene classification 
E Othman, Y Bazi, N Alajlan, H Alhichri, F Melgani

2016

Robust Single Image SuperResolution via Deep Networks with Sparse Prior. 
D Liu, Z Wang, B Wen, J Yang, W Han, T Huang

2016

A Versatile Sparse Representation Based PostProcessing Method for Improving Image SuperResolution 
J Yang, J Guo, H Chao

2016

Hyperspectral Imagery Classification Using Sparse Representations of Convolutional Neural Network Features 
H Liang, Q Li

2016

Sparse feature learning for image analysis in segmentation, classification, and disease diagnosis. 
E Hosseini

2016

Automated Diagnosis of Parkinsonian Syndromes by Deep Sparse FilteringBased Features 
A Ortiz, FJ Martínez

2016

Towards Understanding Sparse Filtering: A Theoretical Perspective 
FM Zennaro, K Chen

2016

Constructing Deep Sparse Coding Network for Image Classification 
S Zhang, J Wang, X Tao, Y Gong, N Zheng

2016

A Deconvolutional Competitive Algorithm for Building Sparse Hierarchical Representations 
D Paiton, S Lundquist, W Shainin, X Zhang, P Schultz

2016

Discriminative Sparse Neighbor Approximation for Imbalanced Learning 
C Huang, CC Loy, X Tang

2016

Classification of Epileptic EEG Signals with Stacked Sparse Autoencoder Based on Deep Learning 
Q Lin, S Ye, X Huang, S Li, M Zhang, Y Xue, WS Chen

2016

Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning 
BO Ayinde, E Hosseini

2016

Research of stacked denoising sparse autoencoder 
L Meng, S Ding, N Zhang, J Zhang

2016

Sparse Representation Based Complete Kernel Marginal Fisher Analysis Framework for Computational Art Painting Categorization 
A Puthenputhussery, Q Liu, C Liu

2016

Accurate segmentation of nuclei in pathological images via sparse reconstruction and deep convolutional networks 
X Pan, L Li, H Yang, Z Liu, J Yang, L Zhao, Y Fan

2016

Invariant object recognition based on combination of sparse DBN and SOM with temporal trace rule 
H Cai, S Wang, E Liu, H Liu

2016

Sparse recovery techniques for hyperspectral imaging 
HK Aggarwal, A Majumdar

2016

Surface approximation via sparse representation and parameterization optimization 
L Xu, R Wang, Z Yang, J Deng, F Chen, L Liu

2016

Distributed sparse HMAX model 
Y Wang, Q Zhang, X Hu

2016

Sparse Autoencoder with Smoothed l_1 Regularization 
L Zhang, Y Lu, Z Zhang, B Wang, F Li

2016

A Deep Neural Network Architecture Using Dimensionality Reduction with Sparse Matrices 
W Matsumoto, M Hagiwara, PT Boufounos

2016

3D UNet: Learning Dense Volumetric Segmentation from Sparse Annotation 
Ö Çiçek, A Abdulkadir, SS Lienkamp, T Brox

2016

Vehicle detection based on visual saliency and deep sparse convolution hierarchical model 
Y Cai, H Wang, X Chen, L Gao, L Chen

2016

Multistage committees of deep feedforward convolutional sparse denoise autoencoder for object recognition 
S Luo, Y Ding, K Hao

2016

ClusterBased Image Superresolution via Jointly Lowrank and Sparse Representation 
N Han, Z Song, Y Li

2016

Onsagercorrected deep learning for sparse linear inverse problems 
M Borgerding, P Schniter

2016

Empirical study of PROXTONE and PROXTONE $^+ $ for Fast Learning of Large Scale Sparse Models 
Z Shi, R Liu

2016

Detecting fingering of overblown flute sound using sparse feature learning 
Y Han, K Lee

2016

Investigation on the kurtosis filter and the derivation of convolutional sparse filter for impulsive signature enhancement 
X Jia, M Zhao, Y Di, C Jin, J Lee

2016

Terrain classification with Polarimetric SAR based on Deep Sparse Filtering Network 
H Liu, Q Min, C Sun, J Zhao, S Yang, B Hou, J Feng

2016

A pruning algorithm for extreme learning machine based on sparse coding 
Y Yu, Z Sun

2016

A jointly local structured sparse deep learning network for face recognition 
R Wu, S Kamata

2016

OnsagerCorrected Deep Networks for Sparse Linear Inverse Problems 
M Borgerding, P Schniter

2016

Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology 
A Janowczyk, A Basavanhally, A Madabhushi

2016

3D Keypoint Detection Based on Deep Neural Network with Sparse Autoencoder 
X Lin, C Zhu, Q Zhang, Y Liu

2016

MidLevel Feature Representation via Sparse Autoencoder for Remotely Sensed Scene Classification 
E Li, P Du, A Samat, Y Meng, M Che

2016

BioInspired Spiking Convolutional Neural Network using Layerwise Sparse Coding and STDP Learning 
A Tavanaei, AS Maida

2016

Super Resolution of Medical Image Using Integrated Approach of Deep Learning and Sparse Coding 
S Jindal, HG Kaur

2016

Denoising Deep Extreme Learning Machines for Sparse Representation 
X Cheng, H Liu, X Xu, F Sun

2016

Sparse Coding Extreme Learning Machine for Classification 
Z Sun, Y Yu

2016

Learning blind quality evaluator for stereoscopic images using joint sparse representation 
F Shao, K Li, W Lin, G Jiang, Q Dai

2016

Deep neural network for halftone image classification based on sparse autoencoder 
Y Zhang, E Zhang, W Chen

2016

Modulation recognition of underwater acoustic communication signals based on denoising & deep sparse autoencoder 
H YANG, X YAO, S SHEN, J XIONG, X ZHANG

2015

Infrared ultraspectral signature classification based on a restricted Boltzmann machine with sparse and prior constraints 
X Mei, Y Ma, F Fan, C Li, C Liu, J Huang, J Ma

2015

Modeling object recognition in visual cortex using multiple firing Kmeans and Nonnegative Sparse Coding 
Y Wang, L Deng

2015

Building Feature Space of Extreme Learning Machine with Sparse Denoising Stackedautoencoder 
W Huang, F Sun

2015

Fusion Algorithm Of Optical Images And Sar With Svt And Sparse Representation 
Y Zhouping

2015

Analysis of Different Sparsity Methods in Constrained RBM for Sparse Representation in Cognitive Robotic Perception 
Z Cui, SS Ge, Z Cao, J Yang, H Ren

2015

Sparse Robust Recovery and Learning 
YL Gwon

2015

The effect of different hidden unit number of sparse autoencoder 
Q Xu, L Zhang

2015

Systems, Apparatuses, And Methods For Deep Learning Of Feature Detectors With Sparse Coding 
T Lin, H Kung

2015

A Deep Learning Method Combined Sparse Autoencoder with SVM 
Y Ju, J Guo, S Liu

2015

A TwoLayer Local Constrained Sparse Coding Method for FineGrained Visual Categorization 
G Lihua, G Chenggan

2015

Classification of uncooperative vehicles with sparse laser Doppler vibrometry measurements 
J Wei, CH Liu, Z Zhu, O Mendoza

2015

Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images 
A Halpern, JR Smith

2015

Single Image SuperResolution Via Bm3D Sparse Coding 
K Egiazarian, V Katkovnik

2015

Hierarchical Recognition System for Target Recognition from Sparse Representations 
Z Cui, Z Cao, J Yang, H Ren

2015

Unveiling The Tree: A Convex Framework for Sparse Problems 
TA Lahlou, AV Oppenheim

2015

Sparse Neural Networks 
M Thom

2015

Toward a Robust Sparse Data Representation for Wireless Sensor Networks 
MA Alsheikh, S Lin, HP Tan, D Niyato

2015

Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets 
S Basu, M Karki, S Ganguly, R DiBiano

2015

Deeply Improved Sparse Coding for Image SuperResolution 
Z Wang, D Liu, J Yang, W Han, T Huang

2015

A RealTime Visual Tracking Approach Using Sparse Autoencoder and Extreme Learning Machine 
L Dai, Y Zhu, G Luo, C He, H Lin

2015

Trading Interpretability for Accuracy: Oblique Treed Sparse Additive Models 
J Wang, R Fujimaki, Y Motohashi

2015

Sparse Coding with Fast Image Alignment via Large Displacement Optical Flow 
X Sun, NM Nasrabadi, TD Tran

2015

Automatic facial attribute analysis via adaptive sparse representation of random patches 
D Mery, K Bowyer

2015

A Vehicle Type Recognition Method based on Sparse Auto Encoder 
HL Rong, YX Xia

2015

Topologically Ordered Feature Extraction Based on Sparse Group Restricted Boltzmann Machines 
Z Chena, S Xionga, Z Fangb, R Zhanga, X Konga

2015

Automatic sleep stage classification based on sparse deep belief net and combination of multiple classifiers 
J Zhang, Y Wu, J Bai, F Chen

2015

A Novel Method for Text Recognition in Natural Scene Based on Sparse Stacked Autoencoder 
C HUANG, L ZHONG, Y HUANG, G ZHANG, X ZHONG

2015

An Efficient Concept Detection System Via Sparse Ensemble Learning 
S Tang, ZX Xu, YD Zhang, HJ Li, YT Zheng, JT Li

2015

Deep Learning of PartBased Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints 
E Hosseini

2015

Deep learning human actions from video via sparse filtering and locally competitive algorithms 
WE Hahn, S Lewkowitz, DC Lacombe Jr, E Barenholtz

2015

Sparse nonlinear representation for voice conversion 
T Nakashika, T Takiguchi, Y Ariki

2015

HSAE: A Hessian Regularized Sparse AutoEncoders 
W Liu, T Ma, D Tao, J You

2015

Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object Detection 
D Novotny, J Matas

2015

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology images. 
J Xu, L Xiang, Q Liu, H Gilmore, J Wu, J Tang

2015

A Sparse Pyramid Pooling Strategy 
L Wang, S Gong, C Liu, Y Ji, M Song

2015

Sparse Deep Stacking Network for Image Classification 
J Li, H Chang, J Yang

2015

Robust visual tracking via CAMShift and structural local sparse appearance model 
H Zhao, K Xiang, S Cao, X Wang

2015

A Multiobjective Sparse Feature Learning Model for Deep Neural Networks 
M Gong, J Liu, H Li, Q Cai, L Su

2015

Robust people counting using sparse representation and random projection 
H Foroughi, N Ray, H Zhang

2015

Multimanifold Sparse Graph Embedding for Multimodal Image Classification 
J Li, Y Wu, J Zhao, K Lu

2015

Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions 
D Tuia, R Flamary, N Courty

2015

Columnar Machine: Fast estimation of structured sparse codes 
A Lőrincz, ZÁ Milacski, B Pintér, AL Verő

2015

Deep Feature Learning for Tibetan Speech Recognition using Sparse Autoencoder 
H Wang, Y Zhao, XF Liu, XN Xu, L Wang, N Zhou

2015

Sparse Filtering in Theano 
DC LaCombe Jr

2015

A novel method of diagnosing premature ventricular contraction based on sparse autoencoder and softmax regression 
J Yang, Y Bai, G Li, M Liu, X Liu

2015

The Unsupervised Hierarchical Convolutional Sparse AutoEncoder for Neuroimaging Data Classification 
X Han, Y Zhong, L He, SY Philip, L Zhang

2015

Sparse Coral Classification Using Deep Convolutional Neural Networks 
M Elawady

2015

Spatiotemporal Context Awareness for Urban Traffic Modeling and Prediction: Sparse Representation Based Variable Selection 
S Yang, S Shi, X Hu, M Wang

2015

Cell recognition based on topological sparse coding for microscopy imaging of focused ultrasound treatment 
Z Wang, J Zhu, Y Xue, C Song, N Bi

2015

Object recognition in remote sensing images using sparse deep belief networks 
W Diao, X Sun, F Dou, M Yan, H Wang, K Fu

2015

Deep sparse coding network for image classification 
S Zhou, S Zhang, J Wang

2015

Manifold learning in sparse selected feature subspaces 
Y Fang, Y Zheng, C Yu

2015

A Modified Sparse Representation Method for Facial Expression Recognition 
WWLH Xu

2015

Sparse Robust Filters for Scene Classification of Synthetic Aperture Radar (SAR) Images 
S Yang, M Wang, H Long, Z Liu

2015

Spatially Constrained Sparse Coding Scheme for Natural Scene Categorization 
H Zhang, Y Liu, B Xie, J Yu

2014

Recognition of Facial Attributes using Adaptive Sparse Representations of Random Patches 
D Mery, K Bowyer

2014

Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto‐encoder deep neural network 
J Lyons, A Dehzangi, R Heffernan, A Sharma

2014

Compute Less to Get More: Using ORC to Improve Sparse Filtering 
J Lederer, S Guadarrama

2014

Static hand gesture recognition using stacked Denoising Sparse Autoencoders 
V Kumar, GC Nandi, R Kala

2014

Statistically Adaptive Image Denoising Based on Overcomplete Topographic Sparse Coding 
H Zhao, J Luo, Z Huang, T Nagumo, J Murayama

2014

Smartphone based visible iris recognition using deep sparse filtering 
KB Raja, R Raghavendra, VK Vemuri, C Busch

2014

Parametric Speech Synthesis Using Local and Global Sparse Gaussian 
T Koriyama, T Nose, T Kobayashi

2014

Nuclei/Cell Detection in Microscopic Skeletal Muscle Fiber Images and Histopathological Brain Tumor Images Using Sparse Optimizations 
H Su

2014

A linear approach for sparse coding by a twolayer neural network 
A Montalto, G Tessitore, R Prevete

2014

Sparsey^ TM: Spatiotemporal Event Recognition via Deep Hierarchical Sparse Distributed Codes 
GJ Rinkus

2014

Learning Block Group Sparse Representation Combined with Convolutional Neural Networks for RGBD Object Recognition 
S Tu, Y Xue, J Wang, X Huang, X Zhang

2014

Learning Feature Representations with a CostRelevant Sparse Autoencoder 
M Längkvist, A Loutfi

2014

A Truncated EM Approach for SpikeandSlab Sparse Coding 
AS Sheikh, JA Shelton, J Lücke

2014

Metaparameter free unsupervised sparse feature learning 
A Romero, P Radeva, C Gatta

2014

Analyzing sparse dictionaries for online learning with kernels 
P Honeine

2014

HSR: L1/2 Regularized Sparse Representation for Fast Face Recognition using Hierarchical Feature Selection 
B Han, B He, T Sun, M Ma, A Lendasse

2014

Provable Methods for Training Neural Networks with Sparse Connectivity 
H Sedghi, A Anandkumar

2014

Sparse Representations, Numerical Linear Algebra, and Optimization 
G Kutyniok, M Saunders, S Wright, O Yilmaz
