Deep Learning Publication Navigator - subtopic: representation

Year TitleAuthor
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 Graph-Level 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 Learning-Based Action Representation Approaches for Human Activity Recognition  AB Sargano, P Angelov, Z Habib
2017   Representation learning via Dual-Autoencoder 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 semi-supervised learning  Y CAI, H WANG, X SUN, L CHEN
2017   Superpixel-Based 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 re-identification 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 Multi-fusion Deep Neural Networks  Z Gu, B Lang, T Yue, L Huang 
2017   Representation Learning with Pair-wise Constraints for Collaborative Ranking  F Zhuang, D Luo, NJ Yuan, X Xie, Q He
2017   Character-Based 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 Deep-learning 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 Down-Sampled Vibration Signals  D Lee, V Siu, R Cruz, G Tolentino, C Yetman, P Thoi
2017   CM-GANs: Cross-modal 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 Re-identification  S Wang, L Duan, Y Zhao, J Dong
2017   Unsupervised Learning for Cell-level 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   Multi-scale 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   Multi-Task Representation Learning  MR Bouguelia, S Pashami, S lawomir Nowaczyk
2017   DeePMD-kit: A deep learning package for many-body 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 Mixture-of-Experts 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 semi-supervised training of a scene parser using a convolutional auto-encoder and representation nudging  S Arnold, K Yamazaki
2017   Dynamic Texture Representation Using a Deep Multi-Scale 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 No-Reference 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 2-D 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   Large-scale multi-agent reinforcement learning using image-based state representation  T Chu, S Qu, J Wang
2017   Action-Affect-Gender Classification using Multi-Task 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   Kernel-Based Multilayer Extreme Learning Machines for Representation Learning  CM Wong, CM Vong, PK Wong, J Cao
2017   A Multi-level Weighted Representation for Person Re-identification  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 In-Situ 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   Cross-modal Common Representation Learning by Hybrid Transfer Network  X Huang, Y Peng, M Yuan
2017   Non-Associative Learning Representation in the Nervous System of the Nematode Caenorhabditis elegans  RM Hasani, M Fuchs, V Beneder, R Grosu
2017   A method of multi-criteria 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 Time-Frequency 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 Superpixel-Based Sparse Representation for Hyperspectral Image Classification  S Zhang, S Li, W Fu, L Fang
2017   GMFR-CNN: 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 Cross-Domain Disentangled Deep Representation with Supervision from A Single Domain  TC Fu, YC Liu, WC Chiu, SD Wang, YCF Wang
2017   Unsupervised Multi-Manifold Clustering by Learning Deep Representation  D Chen, J Lv, Z Yi
2017   Deep Representation based feature extraction and recovering for Finger-vein verification  H Qin, MA El
2017   Learning a continuous representation of molecules with an autoencoder  H Shen
2017   Common Representation Learning Using Step-based Correlation Multi-Modal CNN  G Bhatt, P Jha, B Raman 
2017   Transitive Invariance for Self-supervised 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 Logo-405  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 View-Invariant 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   Multi-Contextual Representation and Learning with Applications in Materials Knowledge Discovery  R Liu
2017   Net2Image: A Network Representation Method for Identifying Cancer-Related Genes  B Chen, Y Jin, X Shang
2017   Linear Disentangled Representation Learning for Facial Actions  X Xiang, TD Tran
2017   A texture-based 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 Character-Sequential 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   Space-Time Representation of People Based on 3D Skeletal Data: A Review  F Han, B Reily, W Hoff, H Zhang
2016   Robust Object Representation by Boosting-like 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 super-resolution reconstruction via RBM-based 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   DBN-based 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 subject-independent emotion recognition in videos  SH Lee, WJ Baddar, YM Ro
2016   Fully unsupervised low-dimensional 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 Multi-task Representation Learning: A Tensor Factorisation Approach  Y Yang, T Hospedales
2016   A New Data Representation Based on Training Data Characteristics to Extract Drug Named-Entity in Medical Text  S Mujionoa, MI Fananyc, T Basaruddinc
2016   Multi-layer 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 nearest-neighbor 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 image-based emotion recognition  Y Huang, H Lu
2016   Context-Aware Text Representation for Social Relation Aided Sentiment Analysis  LM Nguyen
2016   Super-resolution 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 multi-spatial-resolution 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 Post-Processing Method for Improving Image Super-Resolution  J Yang, J Guo, H Chao
2016   Representation learning of sequential data with application in bioinformatics  M Brbic
2016   Demv-Matchmaker: 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 Multi-View Representation Learning for Multi-modal Features of the Schizophrenia and Schizo-affective Disorder  J Qi, J Tejedor
2016   Facial Attributes Classification Using Multi-Task 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   Ensemble-Average 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 Cross-Modal 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 Multi-layer 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 Multi-View 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 Multi-View 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   Cluster-Based Image Super-resolution via Jointly Low-rank 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 Semi-Supervised 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   Action-Affect Classification and Morphing using Multi-Task Representation Learning  TJ Shields, MR Amer, M Ehrlich, A Tamrakar
2016   Denoising auto-encoders 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 Time-series Classification  S Zhang, S Bahrampour, N Ramakrishnan, M Shah
2016   Stacked Convolutional Denoising Auto-Encoders 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 Block-Sparsity Based Representation for Spectral-Spatial 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   Mid-Level 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 Frame-to-Frame Ego-Motion 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 BioNLP-ST 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   Feature-Level 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 Co-training and Unsupervised Representation Learning  S Bianco, G Ciocca, C Cusano
2016   Efficient Representation of Low-Dimensional 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 Vector-Space 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 EMR-driven 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   Scene-Domain Active Part Models for Object Representation  Z Ren, C Wang, A Yuille
2015   Image automatic annotation via multi-view deep representation  Y Yang, W Zhang, Y Xie
2015   A Waveform Representation Framework for High-quality 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 Single-Channel 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 Low-dimensional Representation  WM Czarnecki, R Józefowicz, J Tabor
2015   Learning hierarchical feature representation for RGB-D 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 Multi-View Representation Learning  W Wang, R Arora, K Livescu, J Bilmes
2015   S-Vector: A Discriminative Representation Derived From I-Vector For Speaker Verification  YZ Isık, H Erdogan, R Sarıkaya
2015   Learning Deep Representation With Large-Scale Attributes  W Ouyang, H Li, X Zeng, X Wang
2015   Clustering Noisy Signals with Structured Sparsity Using Time-Frequency 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 multi-channel 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   Multi-Scale 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 3-D 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 Trans-layer 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   End-to-End Photo-Sketch 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   Sentiment-Specific Representation Learning for Document-Level Sentiment Analysis  D Tang
2015   Face Detection using Representation Learning  S Zhan, QQ Tao, XH Li
2015   Deep Learning of Part-Based 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 Network-Based 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   Self-taught 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 Re-identification 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 Real-Time Multi-View 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 Image-Text News Topic Detection and Tracking with And-Or 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 statistical-learning-based object detection: a review  Y Li, S Wang, Q Tian, X Ding
2015   Multi-Channel 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 multi-class 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 Auto-Encoders  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   DEFEATnet--A Deep Conventional Image Representation for Image Classification  S Gao, L Duan, I Tsang
2015   Multi-view clustering via structured low-rank 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   Da-ccd: 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 high-level 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 RGB-D 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 cloud-based problem representation system: Empowering pre-service teachers' problem solving  CB Lee, KV Ling, P Reimann, YA Diponegoro, CH Koh
2014   Fast Low-rank 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