Year  Title  Author 
2017

Restricted Boltzmann Machines for Vector Representation of Speech in Speaker Recognition 
O Ghahabi, J Hernando

2017

Robust Linear Representation via Exploiting Structure Prior 
D Wang, R He, L Wang, T Tan

2017

Learning GraphLevel Representation for Drug Discovery 
J Li, D Cai, X He

2017

Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions 
G Hu, Y Hu, K Yang, Z Yu, F Sung, Z Zhang, F Xie, J Liu

2017

Representation Learning by Learning to Count 
M Noroozi, H Pirsiavash, P Favaro

2017

Harnessing Noisy Web Images for Deep Representation 
PD Vo, A Ginsca, H Le Borgne, A Popescu

2017

Local feature representation based on linear filtering with feature pooling and divisive normalization for remote sensing image classification 
L Wan, N Liu, Y Guo, H Huo, T Fang

2017

Learning Consensus Representation for Weak Style Classification 
S Jiang, M Shao, C Jia, Y Fu

2017

Color separation of H&E stained samples by linearly projecting the RGB representation onto a custom discriminant surface 
PA Dorado, R Celis, E Romero

2017

A Comprehensive Review on Handcrafted and LearningBased Action Representation Approaches for Human Activity Recognition 
AB Sargano, P Angelov, Z Habib

2017

Representation learning via DualAutoencoder for recommendation 
F Zhuang, Z Zhang, M Qian, C Shi, X Xie, Q He

2017

Face aging effect simulation model based on multilayer representation and shearlet transform 
Y Li, Y Li

2017

Learning More Distinctive Representation by Enhanced PCA Network 
Y Liu, S Zhao, Q Wang, Q Gao

2017

Parametric Representation Of The Speaker'S Lips For Multimodal Sign Language And Speech Recognition. 
D Ryumin, AA Karpov

2017

Visual vehicle tracking based on deep representation and semisupervised learning 
Y CAI, H WANG, X SUN, L CHEN

2017

SuperpixelBased Difference Representation Learning for Change Detection in Multispectral Remote Sensing Images 
M Gong, T Zhan, P Zhang, Q Miao

2017

Deep feature representation and multiple metric ensembles for person reidentification in security surveillance system 
M Qi, J Han, J Jiang, H Liu

2017

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

2017

Learning Joint Multimodal Representation Based on Multifusion Deep Neural Networks 
Z Gu, B Lang, T Yue, L Huang

2017

Representation Learning with Pairwise Constraints for Collaborative Ranking 
F Zhuang, D Luo, NJ Yuan, X Xie, Q He

2017

CharacterBased Text Classification using Top Down Semantic Model for Sentence Representation 
Z Wu, X Zheng, D Dahlmeier

2017

Data Driven Phenotyping of Patients With Heart Failure using a Deeplearning Cluster Representation of Echocardiographic and Electronic Health Record Data 
AEU Cerna, G Wehner, DN Hartzel, C Haggerty

2017

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification 
D Lin, K Fu, Y Wang, G Xu, X Sun

2017

A Probabilistic Signal Representation for Detecting Faults in Highly Fragmented and DownSampled Vibration Signals 
D Lee, V Siu, R Cruz, G Tolentino, C Yetman, P Thoi

2017

CMGANs: Crossmodal Generative Adversarial Networks for Common Representation Learning 
Y Peng, J Qi, Y Yuan

2017

DLR: Toward a deep learned rhythmic representation for music content analysis 
Y Jeong, K Choi, H Jeong

2017

Neural Discrete Representation Learning 
A Oord, O Vinyals, K Kavukcuoglu

2017

Deconvolutional Paragraph Representation Learning 
Y Zhang, D Shen, G Wang, Z Gan, R Henao, L Carin

2017

A Simple Deep Feature Representation for Person Reidentification 
S Wang, L Duan, Y Zhao, J Dong

2017

Unsupervised Learning for Celllevel Visual Representation in Histopathology Images with Generative Adversarial Networks 
B Hu, Y Tang, EI Chang, Y Fan, M Lai, Y Xu

2017

NIPS 2016 Workshop on Representation Learning in Artificial and Biological Neural Networks (MLINI 2016) 
L Wehbe, A Nunez

2017

Multiscale adaptive representation of signals: models and algorithms 
C Tai

2017

Discovering a Domain Knowledge Representation for Image Grouping: Multimodal Data Modeling, Fusion, and Interactive Learning 
X Guo

2017

Representation Learning and Adversarial Generation of 3D Point Clouds 
P Achlioptas, O Diamanti, I Mitliagkas, L Guibas

2017

Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds 
Z Gao, Y Wu, X Bu, Y Jia

2017

DeepGait: A Learning Deep Convolutional Representation for Gait Recognition 
X Zhang, S Sun, C Li, X Zhao, Y Hu

2017

MultiTask Representation Learning 
MR Bouguelia, S Pashami, S lawomir Nowaczyk

2017

DeePMDkit: A deep learning package for manybody potential energy representation and molecular dynamics 
H Wang, L Zhang, J Han

2017

Deep representation learning for human motion prediction and classification 
J Bütepage, M Black, D Kragic, H Kjellström

2017

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

2017

Linear Guided Autoencoder: Representation Learning with Linearity 
H Ohno

2017

Inductive Representation Learning on Large Graphs 
WL Hamilton, R Ying, J Leskovec

2017

Rapid online semisupervised training of a scene parser using a convolutional autoencoder and representation nudging 
S Arnold, K Yamazaki

2017

Dynamic Texture Representation Using a Deep MultiScale Convolutional Network 
SR Arashloo, MC Amirani, A Noroozi

2017

Deep Unsupervised Representation Learning for Remote Sensing Images 
DY Lin

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

Deep learning of chroma representation for cover song identification in compression domain 
JT Fang, YR Chang, PC Chang

2017

Bearings Fault Diagnosis Based on Convolutional Neural Networks with 2D Representation of Vibration Signals as Input 
W Zhang, G Peng, C Li

2017

Representation Learning for Retinal Vasculature Embeddings 
L Giancardo, K Roberts, Z Zhao

2017

Largescale multiagent reinforcement learning using imagebased state representation 
T Chu, S Qu, J Wang

2017

ActionAffectGender Classification using MultiTask Representation Learning 
TJ Shields, MR Amer, M Ehrlich, A Tamrakar

2017

Representation Learning based Assistive System for Persons with Dysarthria 
S Chandrakala, N Rajeswari

2017

Towards an accurate social media disaster event detection system based on deep learning and semantic representation 
Z Lin, H Jin, B Robinson, X Lin

2017

KernelBased Multilayer Extreme Learning Machines for Representation Learning 
CM Wong, CM Vong, PK Wong, J Cao

2017

A Multilevel Weighted Representation for Person Reidentification 
X Meng, B Leng, G Song

2017

Representation Learning in Large Attributed Graphs 
NK Ahmed, RA Rossi, R Zhou, JB Lee, X Kong

2017

DeepBrain: Functional Representation of Neural InSitu Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders 
I Cohen, EO David, NS Netanyahu, N Liscovitch

2017

Propositional Knowledge Representation in Restricted Boltzmann Machines 
SN Tran

2017

Crossmodal Common Representation Learning by Hybrid Transfer Network 
X Huang, Y Peng, M Yuan

2017

NonAssociative Learning Representation in the Nervous System of the Nematode Caenorhabditis elegans 
RM Hasani, M Fuchs, V Beneder, R Grosu

2017

A method of multicriteria set recognition based on deep feature representation 
C Zhang, H Yang, X Shen

2017

Deep learning based feature representation for automated skin histopathological image annotation 
G Zhang, CHR Hsu, H Lai, X Zheng

2017

Learning hierarchical video representation for action recognition 
Q Li, Z Qiu, T Yao, T Mei, Y Rui, J Luo

2017

Deep Learning on TimeFrequency Representation for Heart Rate Estimation 
MX Chen

2017

Representation Learning on Large and Small Data 
CN Chou, CK Shie, FC Chang, J Chang, EY Chang

2017

Towards Representation Learning for Biomedical Concept Detection in Medical Images: UA. PT Bioinformatics in ImageCLEF 2017 
E Pinho, JF Silva, JM Silva, C Costa

2017

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

2017

GMFRCNN: An Integration of Gapped Motif Feature Representation and Deep Learning Approach for Enhancer Prediction 
YS Wong, NK Lee, N Omar

2017

Domain Adaptation Using Representation Learning for the Classification of Remote Sensing Images 
A Elshamli, GW Taylor, A Berg, S Areibi

2017

Unsupervised Change Detection of Multispectral Imagery Using Multi Level Fuzzy Based Deep Representation 
SGA Usha, S Vasuki

2017

Age classification with deep learning face representation 
J Huang, B Li, J Zhu, J Chen

2017

Learning CrossDomain Disentangled Deep Representation with Supervision from A Single Domain 
TC Fu, YC Liu, WC Chiu, SD Wang, YCF Wang

2017

Unsupervised MultiManifold Clustering by Learning Deep Representation 
D Chen, J Lv, Z Yi

2017

Deep Representation based feature extraction and recovering for Fingervein verification 
H Qin, MA El

2017

Learning a continuous representation of molecules with an autoencoder 
H Shen

2017

Common Representation Learning Using Stepbased Correlation MultiModal CNN 
G Bhatt, P Jha, B Raman

2017

Transitive Invariance for Selfsupervised Visual Representation Learning 
X Wang, K He, A Gupta

2017

Function space analysis of deep learning representation layers 
O Elisha, S Dekel

2017

Deep Hierarchical Representation from Classifying Logo405 
S Hou, J Lin, S Zhou, M Qin, W Jia, Y Zheng

2017

Iterative PET Image Reconstruction Using Convolutional Neural Network Representation 
K Gong, J Guan, K Kim, X Zhang, GE Fakhri, J Qi, Q Li

2017

Deep Multimodal Representation Learning from Temporal Data 
X Yang, P Ramesh, R Chitta, S Madhvanath, EA Bernal

2017

Discovery Through Constraints: Imposing Constraints on Autoencoders for Data Representation and Dictionary Learning 
BO Ayinde, JM Zurada

2017

PixelNet: Representation of the pixels, by the pixels, and for the pixels 
A Bansal, X Chen, B Russell, AG Ramanan

2017

DeepGait: A Learning Deep Convolutional Representation for ViewInvariant Gait Recognition Using Joint Bayesian 
C Li, X Min, S Sun, W Lin, Z Tang

2017

Deep Stochastic Configuration Networks: Universal Approximation and Learning Representation 
D Wang, M Li

2017

Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learning 
Z Sadeghi, A Testolin

2017

MultiContextual Representation and Learning with Applications in Materials Knowledge Discovery 
R Liu

2017

Net2Image: A Network Representation Method for Identifying CancerRelated Genes 
B Chen, Y Jin, X Shang

2017

Linear Disentangled Representation Learning for Facial Actions 
X Xiang, TD Tran

2017

A texturebased rolling bearing fault diagnosis scheme using adaptive optimal kernel time frequency representation and uniform local binary patterns 
H Chen, J Wang, J Li, B Tang

2017

Deep learning of volumetric representation for 3D object recognition 
H Liu, Y Cong, Y Tang

2017

Label embedding network: Learning label representation for soft training of deep networks 
X Sun, B Wei, X Ren, S Ma

2017

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task 
W Li, G Wang, L Fidon, S Ourselin, MJ Cardoso

2017

Learning Deep Representation for Place Recognition in SLAM 
A Mukherjee, S Chakraborty, SK Saha

2017

Incorporating Knowledge into neural network for text representation 
Y Li, B Wei, Y Liu, L Yao, H Chen, J Yu, W Zhu

2017

Reduced Scattering Representation for Malayalam Character Recognition 
K Manjusha, MA Kumar, KP Soman

2017

3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks 
Y Ben

2017

Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking 
V Vukotic, C Raymond, G Gravier

2016

Skipping Word: A CharacterSequential Representation based Framework for Question Answering 
L Meng, Y Li, M Liu, P Shu

2016

Bayesian Representation Learning With Oracle Constraints 
T Karaletsos, S Belongie, C Tech, G Rätsch

2016

Representation learning for mammography mass lesion classificationwith convolutional neural networks 
J Arevalo, FA González, R Ramos

2016

Neural representation for object recognition in inferotemporal cortex 
SR Lehky, K Tanaka

2016

SpaceTime Representation of People Based on 3D Skeletal Data: A Review 
F Han, B Reily, W Hoff, H Zhang

2016

Robust Object Representation by Boostinglike Deep Learning Architecture 
L Wang, B Zhang, J Han, L Shen, C Qian

2016

Towards An Invertible Rhythm Representation 
G Carayannis

2016

A New Data Representation Based on Training Data Characteristics to Extract Drug Name Entity in Medical Text 
M Sadikin, MI Fanany, T Basaruddin

2016

Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization 
Z Wang, W Song, L Liu, F Zhang, J Xue, Y Ye, M Fan

2016

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

2016

Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model 
L Chen, C Cai, V Chen, X Lu

2016

DBNbased Spectral Feature Representation for Statistical Parametric Speech Synthesis 
YJ Hu, ZH Ling

2016

Collaborative expression representation using peak expression and intra class variation face images for practical subjectindependent emotion recognition in videos 
SH Lee, WJ Baddar, YM Ro

2016

Fully unsupervised lowdimensional representation of adverse drug reaction events through distributional semantics 
A Pérez, A Casillas, K Gojenola

2016

New Techniques in Deep Representation Learning 
G Andrew, E Todorov, E Fox, C Guestrin, L Zettlemoyer

2016

Deep Multitask Representation Learning: A Tensor Factorisation Approach 
Y Yang, T Hospedales

2016

WORD REPRESENTATION USING ADeep NEURAL NETWORK 
Y Li

2016

A New Data Representation Based on Training Data Characteristics to Extract Drug NamedEntity in Medical Text 
S Mujionoa, MI Fananyc, T Basaruddinc

2016

Multilayer Representation Learning for Medical Concepts 
E Choi, MT Bahadori, E Searles, C Coffey, J Sun

2016

Combining Generative and Discriminative Representation Learning for Lung CT Analysis with Convolutional Restricted Boltzmann Machines 
G van Tulder, M de Bruijne

2016

Domain adaptation of image classification based on collective target nearestneighbor representation 
S Tang, M Ye, Q Liu, F Li

2016

Common Variable Learning and Invariant Representation Learning using Siamese Neural Networks 
U Shaham, R Lederman

2016

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

2016

Prototypes: exemplar based video representation 
Ö Yalçınkaya

2016

Deep learning driven hypergraph representation for imagebased emotion recognition 
Y Huang, H Lu

2016

ContextAware Text Representation for Social Relation Aided Sentiment Analysis 
LM Nguyen

2016

Superresolution of medical image using representation learning 
X Yang, S Zhant, C Hu, Z Liang, D Xie

2016

Robust face recognition based on dynamic rank representation 
H Li, CY Suen

2016

Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data 
J Wang, Y Cheng, RS Feris

2016

Joint Image and Text Representation for Aesthetics Analysis 
Y Zhou, X Lu, J Zhang, JZ Wang

2016

Change detection based on deep feature representation and mapping transformation for multispatialresolution remote sensing images 
P Zhang, M Gong, L Su, J Liu, Z Li

2016

DARI: Distance metric And Representation Integration for Person Verification 
G Wang, L Lin, S Ding, Y Li, Q Wang

2016

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

2016

Representation learning of sequential data with application in bioinformatics 
M Brbic

2016

DemvMatchmaker: Emotional Temporal Course Representation And Deep Similarity Matching For Automatic Music Video … 
JC Lin, WL Wei, HM Wang

2016

Representation of linguistic form and function in recurrent neural networks 
Á Kádár, G Chrupała, A Alishahi

2016

Deep MultiView Representation Learning for Multimodal Features of the Schizophrenia and Schizoaffective Disorder 
J Qi, J Tejedor

2016

Facial Attributes Classification Using MultiTask Representation Learning 
M Ehrlich, TJ Shields, T Almaev, MR Amer

2016

Learning Deep Representation for Imbalanced Classification 
C Huang, Y Li, C Change Loy, X Tang

2016

Deep learning for constructing microblog behavior representation to identify social media user's personality 
X Liu, T Zhu

2016

Learning a Predictable and Generative Vector Representation for Objects 
R Girdhar, DF Fouhey, M Rodriguez, A Gupta

2016

Convolutional Network Representation for Visual Recognition 
A Sharif Razavian

2016

EnsembleAverage Representation of Pt clusters in Conditions of Catalysis Accessed through GPU Accelerated Deep Neural Network Fitting Global Optimization 
H Zhai, AN Alexandrova

2016

Semantic Noise Modeling for Better Representation Learning 
HE Kim, S Hwang, K Cho

2016

Classifying spatial trajectories using representation learning 
Y Endo, H Toda, K Nishida, J Ikedo

2016

Deep Learning and Shared Representation Space Learning Based CrossModal Multimedia Retrieval 
H Zou, JX Du, CM Zhai, J Wang

2016

A Distributed Deep Representation Learning Model for Big Image Data Classification 
L Dong, N Lv, Q Zhang, S Xie, L He, M Mao

2016

3D Object Recognition Based on Volumetric Representation Using Convolutional Neural Networks 
X Xu, D Corrigan, A Dehghani, S Caulfield, D Moloney

2016

On the efficient representation and execution of deep acoustic models 
R Alvarez, R Prabhavalkar, A Bakhtin

2016

An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning 
G Zhong, LN Wang, J Dong

2016

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

2016

Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design 
R Cang, Y Xu, S Chen, Y Liu, Y Jiao, MY Ren

2016

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

2016

When Neural Networks Meet Decisional DNA: A Promising New Perspective for Knowledge Representation and Sharing 
H Zhang, C Sanin, E Szczerbicki

2016

Local Invariance Representation Learning Algorithm with Multilayer Extreme Learning Machine 
X Jia, X Li, H Du, B Bhanu

2016

A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition 
MM Ghazi, HK Ekenel

2016

Robust Face Recognition with Deep MultiView Representation Learning 
J Li, J Zhao, F Zhao, H Liu, J Li, S Shen, J Feng, T Sim

2016

Theory reconstruction: a representation learning view on predicate invention 
S Dumancic, H Blockeel

2016

On Deep MultiView Representation Learning: Objectives and Optimization 
W Wang, R Arora, K Livescu, J Bilmes

2016

Convolutional Neural Networks using Logarithmic Data Representation 
D Miyashita, EH Lee, B Murmann

2016

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

2016

Binary representation learning in computer vision 
F Shen, H Zhang, Y Yang, C Shen

2016

Deep Representation Based on Multilayer Extreme Learning Machine 
YL Qi, YL Li

2016

Locally Embedding Autoencoders: A SemiSupervised Manifold Learning Approach of Document Representation 
C Wei, S Luo, X Ma, H Ren, J Zhang, L Pan

2016

Input Aggregated Network for Face Video Representation 
Z Dong, S Jia, C Zhang, M Pei

2016

ActionAffect Classification and Morphing using MultiTask Representation Learning 
TJ Shields, MR Amer, M Ehrlich, A Tamrakar

2016

Denoising autoencoders toward robust unsupervised feature representation 
W Xiong, B Du, L Zhang, L Zhang, D Tao

2016

Deep Direct Reinforcement Learning for Financial Signal Representation and Trading. 
Y Deng, F Bao, Y Kong, Z Ren, Q Dai

2016

Stacked Deep Polynomial Network Based Representation Learning for Tumor Classification with Small Ultrasound Image Dataset 
J Shi, S Zhou, X Liu, Q Zhang, M Lu, T Wang

2016

Deep Symbolic Representation Learning for Heterogeneous Timeseries Classification 
S Zhang, S Bahrampour, N Ramakrishnan, M Shah

2016

Stacked Convolutional Denoising AutoEncoders for Feature Representation 
B Du, W Xiong, J Wu, L Zhang, D Tao

2016

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records 
R Miotto, L Li, BA Kidd, JT Dudley

2016

Tensor BlockSparsity Based Representation for SpectralSpatial Hyperspectral Image Classification 
Z He, J Li, L Liu

2016

Deep Learning Model for Cyber Bullying Detection in the Text Representation for Social Media 
T Jose

2016

Convolutional Neural Network for 3D object recognition using volumetric representation 
X Xu, A Dehghani, D Corrigan, S Caulfield, D Moloney

2016

Representation Learning From Time Labelled Heterogeneous Data for Mobile Crowdsensing 
C Ma, Q Zhu, S Wu, B Liu

2016

Compositional Sentence Representation from Character within Large Context Text 
G Kim, H Lee, J Choi, S Lee

2016

Representation decomposition for knowledge extraction and sharing using restricted Boltzmann machines 
S Tran

2016

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

2016

Representation Learning on Time Series with Symbolic Approximation and Deep Learning 
Z Wang

2016

Exploring Representation Learning With CNNs for FrametoFrame EgoMotion Estimation 
G Costante, M Mancini, P Valigi, TA Ciarfuglia

2016

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

2016

Domain Adaptation and Domain Generalization with Representation Learning 
M Ghifary

2016

DUTIR in BioNLPST 2016: Utilizing Convolutional Network and Distributed Representation to Extract Complicate Relations 
H Li, J Zhang, J Wang, H Lin, Z Yang

2016

Learning deep representation from coarse to fine for face alignment 
Z Shao, S Ding, Y Zhao, Q Zhang, L Ma

2016

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

2016

FeatureLevel Change Detection Using Deep Representation and Feature Change Analysis for Multispectral Imagery 
H Zhang, M Gong, P Zhang, L Su, J Shi

2016

Hierarchical Representation Learning for Kinship Verification 
N Kohli, M Vatsa, R Singh, A Noore, A Majumdar

2016

Representation Learning for Homophilic Preferences 
TT Nguyen, HW Lauw

2016

CURL: Image Classification using Cotraining and Unsupervised Representation Learning 
S Bianco, G Ciocca, C Cusano

2016

Efficient Representation of LowDimensional Manifolds using Deep Networks 
R Basri, D Jacobs

2016

A deep semantic framework for multimodal representation learning 
C Wang, H Yang, C Meinel

2016

iCaRL: Incremental Classifier and Representation Learning 
SA Rebuffi, A Kolesnikov, CH Lampert

2016

Bilingual Data Selection Using a Continuous VectorSpace Representation 
M Chinea

2016

Multimodal and Crossmodal Representation Learning from Textual and Visual Features with Bidirectional Deep Neural Networks for Video Hyperlinking 
V Vukotic, C Raymond, G Gravier

2015

Bone disease prediction and phenotype discovery using feature representation over electronic health records 
H Li, X Li, X Jia, M Ramanathan, A Zhang

2015

Apprendimento di Modelli Grafici (Probabilistici) per il Representation Learning 
PP di Ricerca

2015

Learning vector representation of medical objects via EMRdriven nonnegative restricted Boltzmann machines (eNRBM) 
T Tran, TD Nguyen, D Phung, S Venkatesh

2015

A Distributional Representation Model For Collaborative Filtering 
Z Junlin, C Heng, H Tongwen, X Huiping

2015

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

2015

SceneDomain Active Part Models for Object Representation 
Z Ren, C Wang, A Yuille

2015

Image automatic annotation via multiview deep representation 
Y Yang, W Zhang, Y Xie

2015

A Waveform Representation Framework for Highquality Statistical Parametric Speech Synthesis 
B Fan, SW Lee, X Tian, L Xie, M Dong

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

Representation Learning for SingleChannel Source Separation and Bandwidth Extension 
M Zoehrer, R Peharz, F Pernkopf

2015

Multiscale Adaptive Representation of Signals: I. The Basic Framework 
C Tai

2015

Learning Robust Deep Face Representation 
X Wu

2015

Maximum Entropy Linear Manifold for Learning Discriminative Lowdimensional Representation 
WM Czarnecki, R Józefowicz, J Tabor

2015

Learning hierarchical feature representation for RGBD object recognition 
SQ Tu, YG Xue, X Zhang, XL Huang, HK Lin

2015

Learning Hierarchical Feature Representation in Depth Image 
Y Liu, P Lasang, Q Sun, M Siegel

2015

Distributed Document Representation for Document Classification 
R Li, H Shindo

2015

Image Representation Learning by Deep Appearance and Spatial Coding 
B Liu, J Liu, Z Li, H Lu

2015

Research Article Encoding Sequential Information in Semantic Space Models: Comparing Holographic Reduced Representation and Random Permutation 
G Recchia, M Sahlgren, P Kanerva, MN Jones

2015

Probabilistic slow feature analysis‐based representation learning from massive process data for soft sensor modeling 
C Shang, B Huang, F Yang, D Huang

2015

Robust Face Recognition via Multimodal Deep Face Representation 
C Ding, D Tao

2015

Unsupervised Visual Representation Learning by Context Prediction 
C Doersch, A Gupta, AA Efros

2015

On Deep MultiView Representation Learning 
W Wang, R Arora, K Livescu, J Bilmes

2015

SVector: A Discriminative Representation Derived From IVector For Speaker Verification 
YZ Isık, H Erdogan, R Sarıkaya

2015

Learning Deep Representation With LargeScale Attributes 
W Ouyang, H Li, X Zeng, X Wang

2015

Clustering Noisy Signals with Structured Sparsity Using TimeFrequency Representation 
T Hope, A Wagner, O Zuk

2015

Representation Learning with Deep Extreme Learning Machines for Efficient Image Set Classification 
M Uzair, F Shafait, B Ghanem, A Mian

2015

Learning Document Representation for Deceptive Opinion Spam Detection 
L Li, W Ren, B Qin, T Liu

2015

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

2015

Training Stacked Denoising Autoencoders for Representation Learning 
J Liang, K Kelly

2015

Optimized multichannel deep neural network with 2D graphical representation of acoustic speech features for emotion recognition 
MN Stolar, M Lech, IS Burnett

2015

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

2015

3D ShapeNets: A Deep Representation for Volumetric Shapes 
Z Wu, S Song, A Khosla, F Yu, L Zhang, X Tang, J Xiao

2015

Convolutional Recurrent Neural Networks: Learning Spatial Dependencies for Image Representation 
Z Zuo, B Shuai, G Wang, X Liu, X Wang, B Wang

2015

MultiScale Pyramid Pooling for Deep Convolutional Representation 
D Yoo, S Park, JY Lee, I Kweon

2015

Knowledge Representation for Image Feature Extraction 
N Karna, I Suwardi, N Maulidevi

2015

Learning Document Semantic Representation with Hybrid Deep Belief Network 
Y Yan, XC Yin, S Li, M Yang, HW Hao

2015

Connectionist perspectives on language learning, representation and processing 
MF Joanisse, JL McClelland

2015

Learning Socially Embedded Visual Representation from Scratch 
S Liu, P Cui, W Zhu, S Yang

2015

Neural Network Image Representation 
M Chertok, A Lorbert, A Pinhas

2015

DeepPano: Deep Panoramic Representation for 3D Shape Recognition 
B Shi, S Bai, Z Zhou, X Bai

2015

Knowledge representation and assessment using concept based learning 
NC Nair, JS Archana, S Chatterjee, K Bijlani

2015

Deep Translayer Unsupervised Networks for Representation Learning 
W Zhu, J Miao, L Qing, X Chen

2015

When crowds hold privileges: Bayesian unsupervised representation learning with oracle constraints 
T Karaletsos, S Belongie, G Rätsch

2015

Latent Regression Bayesian Network for Data Representation 
S Nie, Q Ji

2015

Compact Face Representation 
Q Yin, Z Cao, Y Jiang, H Fan

2015

Learning Deep Face Representation 
Q Yin, Z Cao, Y Jiang, H Fan

2015

What is Learning? A primary discussion about information and Representation 
H Wu

2015

Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation 
WLTLL Marujo, RF Astudillo

2015

EndtoEnd PhotoSketch Generation via Fully Convolutional Representation Learning 
L Zhang, L Lin, X Wu, S Ding, L Zhang

2015

LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data 
K Li, J Gao, S Guo, N Du, X Li, A Zhang

2015

A comparative evaluation of supervised and unsupervised representation learning approaches for anaplastic medulloblastoma differentiation 
A Cruz

2015

SentimentSpecific Representation Learning for DocumentLevel Sentiment Analysis 
D Tang

2015

Face Detection using Representation Learning 
S Zhan, QQ Tao, XH Li

2015

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

2015

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

2015

Object Level Deep Feature Pooling for Compact Image Representation 
KR Mopuri, RV Babu

2015

Convolutional Neural NetworkBased Image Representation for Visual Loop Closure Detection 
Y Hou, H Zhang, S Zhou

2015

Imaging and representation learning of solar radio spectrums for classification 
Z Chen, L Ma, L Xu, C Tan, Y Yan

2015

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

2015

Selftaught learning of a deep invariant representation for visual tracking via temporal slowness principle 
J Kuen, KM Lim, CP Lee

2015

Unsupervised domain adaptation via representation learning and adaptive classifier learning 
M Gheisari, MS Baghshah

2015

Modeling Representation of Videos for Anomaly Detection using Deep Learning: A Review 
YS Chong, YH Tay

2015

ProtVec: A Continuous Distributed Representation of Biological Sequences 
E Asgari, MRK Mofrad

2015

Deep Ranking for Person Reidentification via Joint Representation Learning 
SZ Chen, CC Guo, JH Lai

2015

Representation Learning 
AG POLAT

2015

Learning representative and discriminative image representation by deep appearance and spatial coding 
B Liu, J Liu, H Lu

2015

On Invariance and Selectivity in Representation Learning 
F Anselmi, L Rosasco, T Poggio

2015

DISC: Deep Image Saliency Computing via Progressive Representation Learning 
T Chen, L Lin, L Liu, X Luo, X Li

2015

Learning Structured Output Representation using Deep Conditional Generative Models 
K Sohn, H Lee, X Yan

2015

Marginalised Stacked Denoising Autoencoders for Robust Representation of RealTime MultiView Action Recognition 
F Gu, F Flórez

2015

Learning Deep Representation for Face Alignment with Auxiliary Attributes 
Z Zhang, P Luo, CC Loy, X Tang

2015

Hierarchical Image Representation Using Deep Network 
E Ergul, S Erturk, N Arica

2015

Joint ImageText News Topic Detection and Tracking with AndOr Graph Representation 
W Li, J Joo, H Qi, SC Zhu

2015

On Deep Representation Learning from Noisy Web Images 
PD Vo, A Ginsca, HL Borgne, A Popescu

2015

Learning Semantic Representation with Neural Networks for Community Question Answering Retrieval 
G Zhou, Y Zhou, T He, W Wu

2015

A Lightened CNN for Deep Face Representation 
X Wu, R He, Z Sun

2015

Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition 
H Li, J Sun, D Wang, Z Xu, L Chen

2015

3D ShapeNets: A Deep Representation for Volumetric Shape Modeling 
Z Wu, S Song, A Khosla, F Yu, L Zhang, X Tang, J Xiao

2015

Feature representation for statisticallearningbased object detection: a review 
Y Li, S Wang, Q Tian, X Ding

2015

MultiChannel EEG based Sleep Stage Classification with Joint Collaborative Representation and Multiple Kernel Learning 
J Shi, X Liu, Y Li, Q Zhang, Y Li, S Yin

2015

Beyond explicit codebook generation: Visual Representation Using Implicitly Transferred codebooks 
C Zhang, J Cheng, J Liu, J Pang, Q Huang, Q Tian

2015

In Defense of Word Embedding for Generic Text Representation 
G Lev, B Klein, L Wolf

2015

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

2015

Data driven visual tracking via representation learning and online multiclass LPBoost learning 
X Yang, S Wang

2015

Deep learning EEG response representation for brain computer interface 
L Jingwei, C Yin, Z Weidong

2015

A Modified Sparse Representation Method for Facial Expression Recognition 
WWLH Xu

2015

Deep Feature Representation via Multiple Stack AutoEncoders 
M Xiong, J Chen, Z Wang, C Liang, Q Zheng, Z Han

2015

Improving Deep Representation Learning with Complex and Multimodal Data 
K Sohn

2015

DEFEATnetA Deep Conventional Image Representation for Image Classification 
S Gao, L Duan, I Tsang

2015

Multiview clustering via structured lowrank representation 
D Wang, Q Yin, R He, L Wang, T Tan

2014

Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning 
J Hoffman, D Pathak, T Darrell, K Saenko

2014

Deep Representation Learning with Target Coding Supplementary Material 
S Yang, P Luo, CC Loy, KW Shum, X Tang

2014

Deep Representation Learning with Target Coding 
S Yang, P Luo, CC Loy, KW Shum, X Tang

2014

Daccd: A novel action representation by deep architecture of local depth feature 
Y Liu, L Qin, Z Cheng, Y Zhang, W Zhang, Q Huang

2014

Deep Learning Representation using Autoencoder for 3D Shape Retrieval 
Z Zhu, X Wang, S Bai, C Yao, X Bai

2014

A Tibetan Component Representation Learning Method for Online Handwritten Tibetan Character Recognition 
LL Ma, J Wu

2014

Difference representation learning using stacked restricted Boltzmann machines for change detection in SAR images 
J Liu, M Gong, J Zhao, H Li, L Jiao

2014

Learning to pool highlevel features for face representation 
R Huang, M Ye, P Xu, T Li, Y Dou

2014

Learning a Recurrent Visual Representation for Image Caption Generation 
X Chen, CL Zitnick

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

Stochastic Descent Analysis of Representation Learning Algorithms 
RM Golden

2014

Learning Face Representation from Scratch 
D Yi, Z Lei, S Liao, SZ Li

2014

Efficient image representation for object recognition via pivots selection 
B Xie, Y Liu, H Zhang, J Yu

2014

Feature representation with Deep Gaussian processes 
A Damianou

2014

Deep supervised, but not unsupervised, models may explain IT cortical representation 
SM Khaligh

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

Dynamic scaffolding in a cloudbased problem representation system: Empowering preservice teachers' problem solving 
CB Lee, KV Ling, P Reimann, YA Diponegoro, CH Koh

2014

Fast Lowrank Representation based Spatial Pyramid Matching for Image Classification 
X Peng, R Yan, B Zhao, H Tang, Z Yi

2014

Deep unsupervised network for multimodal perception, representation and classification 
A Droniou, S Ivaldi, O Sigaud

2014

Representation Sharing and Transfer in Deep Neural Networks 
D Yu, L Deng

2014

Feature Representation Learning in Deep Neural Networks 
D Yu, L Deng
