Deep Learning Publication Navigator - subtopic: autoencoder


Year TitleAuthor
2017   Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT  M Lopez
2017   δ-agree Adaboost Stacked Autoencoder for Short-term Traffic Flow Forecasting  T Zhou, G Han, X Xu, Z Lin, C Han, Y Huang, J Qin
2017   Stacked Autoencoder Method for Fabric Defect Detection  A SEKER, AG YUKSEK
2017   Learning 3D Faces from 2D Images via Stacked Contractive Autoencoder  J Zhang, K Li, Y Liang, N Li
2017   A Recurrent Variational Autoencoder for Human Motion Synthesis  I Habibie, D Holden, J Schwarz, J Yearsley, T Komura
2017   k-Sparse Autoencoder Based Automatic Modulation Classification with Low Complexity  A Ali, F Yangyu
2017   An Effective Deep Autoencoder Approach for Online Smartphone-Based Human Activity Recognition  B Almaslukh, J AlMuhtadi, A Artoli
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   Constructing Fine-granularity Functional Brain Network Atlases via Deep Convolutional Autoencoder  Y Zhao, Q Dong, H Chen, A Iraji, Y Li, M Makkie, Z Kou
2017   Land-Use Classification with Remote Sensing Image Based on Stacked Autoencoder  A Ding, X Zhou
2017   Leveraging Stacked Denoising Autoencoder in Prediction of Pathogen-Host Protein-Protein Interactions  H Chen, J Shen, L Wang, J Song
2017   Class Representative Autoencoder for Low Resolution Multi-Spectral Gender Classification  M Singh, S Nagpal, R Singh, M Vatsa
2017   A novel deep autoencoder feature learning method for rotating machinery fault diagnosis  H Shao, H Jiang, H Zhao, F Wang
2017   Radar HRRP recognition based on sparse denoising autoencoder and multi-layer perceptron deep model  H Yan, Z Zhang, G Xiong, W Yu
2017   MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction  A Tewari, M Zollhöfer, H Kim, P Garrido, F Bernard
2017   Hyperspectral image-based spare autoencoder network for TVB-N measurement in pork  T Guo, M Huang, Q Zhu, Y Guo
2017   Spectral–spatial feature learning for hyperspectral imagery classification using deep stacked sparse autoencoder  G Abdi, F Samadzadegan, P Reinartz
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   Modeling Task fMRI Data via Deep Convolutional Autoencoder  Y Zhao, J Han, L Guo, T Liu
2017   Nonlinear model reduction by deep autoencoder of noise response data  K Kashima
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   Symmetric Variational Autoencoder and Connections to Adversarial Learning  Y Pu, L Chen, S Dai, W Wang, C Li, L Carin
2017   Autoencoder With Invertible Functions for Dimension Reduction and Image Reconstruction  Y Yang, QMJ Wu, Y Wang
2017   Deep Features Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network  M Chen, X Shi, Y Zhang, D Wu, M Guizani
2017   SAR Automatic Target Recognition Based on Euclidean Distance Restricted Autoencoder  S Deng, L Du, C Li, J Ding, H Liu
2017   AutoEncoder by Forest  J Feng, ZH Zhou
2017   Network Anomaly Detection with Stochastically Improved Autoencoder Based Models  RC Aygun, AG Yavuz
2017   The filling-in function of the Bayesian AutoEncoder Network  K Nishino, M Inaba
2017   Weighted time series fault diagnosis based on a stacked sparse autoencoder  F Lv, C Wen, M Liu, Z Bao
2017   druGAN: an advanced generative adversarial autoencoder model for de-novo generation of new molecules with desired molecular properties in silico  A Kadurin, S Nikolenko, K Khrabrov, A Aliper
2017   GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures  G Hadjeres, F Nielsen, F Pachet
2017   Pulmonary nodule diagnosis using dual‐modal supervised autoencoder based on extreme learning machine  Y Qiang, L Ge, X Zhao, X Zhang, X Tang
2017   Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network  Z Chen, W Li
2017   Learning a continuous representation of molecules with an autoencoder  H Shen
2017   Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks  M Schreyer, T Sattarov, D Borth, A Dengel, B Reimer
2017   A Workload Prediction Approach Using Models Stacking Based on Recurrent Neural Network and Autoencoder  HM Nguyen, S Woo, J Im, T Jun, D Kim
2017   A Template-Based Protein Structure Reconstruction Method Using Deep Autoencoder Learning  H Li, Q Lyu, J Cheng
2017   3D BLE Indoor Localization based on Denoising Autoencoder  C Xiao, D Yang, Z Chen, G Tan
2017   Image Quality Assessment Techniques Show Improved Training and Evaluation of Autoencoder Generative Adversarial Networks  MO Vertolli, J Davies
2017   A case for stacked autoencoder based order recognition of continuous-phase FSK  AB Ambaw, M Bari, M Doroslovački
2017   Photorealistic Facial Expression Synthesis by the Conditional Difference Adversarial Autoencoder  Y Zhou, BE Shi
2017   Alleviating adversarial attacks via convolutional autoencoder  W Bai, C Quan, Z Luo
2016   Two-stage noise aware training using asymmetric deep denoising autoencoder  KH Lee, SJ Kang, WH Kang, NS Kim
2016   Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model  L Chen, C Cai, V Chen, X Lu
2016   Learning classifier system with deep autoencoder  K Matsumoto, Y Tajima, R Saito, M Nakata, H Sato
2016   Robust transfer learning in multi-robot systems by using sparse autoencoder  LV Utkin, SG Popov, YA Zhuk
2016   Nonnegative autoencoder with simplified random neural network  Y Yin, E Gelenbe
2016   Generalized extreme learning machine autoencoder and a new deep neural network  K Sun, J Zhang, C Zhang, J Hu
2016   Object Classification Using Stacked Autoencoder and Convolutional Neural Network  VCR Gottimukkula
2016   A stacked sparse autoencoder based architecture for Punjabi and English spoken language classification using MFCC features  V Arora, P Sood, KU Keshari
2016   Sparsely Connected Autoencoder  K Gupta, A Majumdar
2016   Transformer fault diagnosis using continuous sparse autoencoder  L Wang, X Zhao, J Pei, G Tang
2016   Non-Linear Hyperspectral Subspace Mapping using Stacked Autoencoder  N Wadströmer, D Gustafsson
2016   Using convolutional features and a sparse autoencoder for land-use scene classification  E Othman, Y Bazi, N Alajlan, H Alhichri, F Melgani
2016   Segmenting Brain Tissues from Chinese Visible Human Dataset by Deep-Learned Features with Stacked Autoencoder  G Zhao, X Wang, Y Niu, L Tan, SX Zhang
2016   Deep metric learning autoencoder for nonlinear temporal alignment of human motion  X Yin, Q Chen
2016   An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection  A Akintayo, N Lee, V Chawla, M Mullaney, C Marett
2016   EEG Based Eye State Classification using Deep Belief Network and Stacked AutoEncoder  S Narejo, E Pasero, F Kulsoom
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   Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks  Z Zhang, F Ringeval, J Han, J Deng, E Marchi
2016   A novel denoising autoencoder assisted segmentation algorithm for cotton field  Y Li, Z Cao, Y Xiao, H Lu, Y Zhu
2016   Semi Supervised Autoencoder  A Gogna, A Majumdar
2016   Stacked Robust Autoencoder for Classification  J Mehta, K Gupta, A Gogna, A Majumdar, S Anand
2016   SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder  NA Moubayed, T Breckon, P Matthews, AS McGough
2016   Deep Feature Consistent Variational Autoencoder  X Hou, L Shen, K Sun, G Qiu
2016   Stacked Autoencoder Based Identification of Monsoon Predictors for Prediction of Indian Summer Monsoon  M Saha, A Santara, P Mitra, A Chakraborty
2016   Visual object tracking with autoencoder representations  B Beşbınar, AA Alatan
2016   Multistage committees of deep feedforward convolutional sparse denoise autoencoder for object recognition  S Luo, Y Ding, K Hao
2016   Multi-digit Image Synthesis Using Recurrent Conditional Variational Autoencoder  H Sun, W Xu, C Deng, Y Tan
2016   Echo-state conditional variational autoencoder for anomaly detection  S Suh, DH Chae, HG Kang, S Choi
2016   IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction  X Pan, YX Fan, J Yan, HB Shen
2016   Variational Autoencoder for Deep Learning of Images, Labels and Captions  Y Pu, Z Gan, R Henao, X Yuan, C Li, A Stevens
2016   3D Keypoint Detection Based on Deep Neural Network with Sparse Autoencoder  X Lin, C Zhu, Q Zhang, Y Liu
2016   Mid-Level Feature Representation via Sparse Autoencoder for Remotely Sensed Scene Classification  E Li, P Du, A Samat, Y Meng, M Che
2016   A Hybrid Autoencoder and Density Estimation Model for Anomaly Detection  M Nicolau, J McDermott
2016   Adaptive Stacked Denoising Autoencoder for Work Mode Identification of Airborne Active Phased Array Radar  H Li, W Jin, H Liu, K Zheng
2016   A feasibility study of an autoencoder meta-model for improving generalization capabilities on training sets of small sizes  A Potapov, V Potapova, M Peterson
2016   Infinite Variational Autoencoder for Semi-Supervised Learning  E Abbasnejad, A Dick, A Hengel
2016   Modulation recognition of underwater acoustic communication signals based on denoising & deep sparse autoencoder  H YANG, X YAO, S SHEN, J XIONG, X ZHANG
2016   Prognostics of Combustion Instabilities from Hi-speed Flame Video using A Deep Convolutional Selective Autoencoder  A Akintayo, KG Lore, S Sarkar, S Sarkar
2015   The effect of different hidden unit number of sparse autoencoder  Q Xu, L Zhang
2015   Stacked denoise autoencoder based feature extraction and classification for hyperspectral images  C Xing, L Ma, X Yang
2015   Multimodal Deep Autoencoder for Human Pose Recovery.  D Tao, C Hong, J Yu, J Wan, M Wang
2015   A Deep Learning Method Combined Sparse Autoencoder with SVM  Y Ju, J Guo, S Liu
2015   Novel Segmented Stacked AutoEncoder for Effective Dimensionality Reduction and Feature Extraction in Hyperspectral Imaging  J Zabalza, J Ren, J Zheng, H Zhao, C Qing, Z Yang
2015   Procedural Modeling Using Autoencoder Networks  ME Yumer, P Asente, R Mech, LB Kara
2015   Hypergraph Regularized Autoencoder for Image-Based 3D Human Pose Recovery  C Hong, X Chen, X Wang, C Tang
2015   Recognition of geochemical anomalies using a deep autoencoder network  Y Xiong, R Zuo
2015   Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder  X Zhang, Y Fu, A Zang, L Sigal, G Agam
2015   A Real-Time Visual Tracking Approach Using Sparse Autoencoder and Extreme Learning Machine  L Dai, Y Zhu, G Luo, C He, H Lin
2015   Hypergraph Regularized Autoencoder for 3D Human Pose Recovery  C Hong, J Yu, Y Jane, X Chen
2015   Denoising AutoEncoder in Neural Networks with Modified Elliott Activation Function and Sparsity-Favoring Cost Function  H Burhani, W Feng, G Hu
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   MADE: Masked Autoencoder for Distribution Estimation  M Germain, K Gregor, I Murray, H Larochelle
2015   Denoising without access to clean data using a partitioned autoencoder  D Stowell, RE Turner
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   1000 Fps Highly Accurate Eye Detection with Stacked Denoising Autoencoder  W Tang, Y Huang, L Wang
2015   Coupled Deep Autoencoder for Single Image Super-Resolution  K Zeng, J Yu, R Wang, C Li, D Tao
2015   Multi-step-ahead host load prediction using autoencoder and echo state networks in cloud computing  Q Yang, Y Zhou, Y Yu, J Yuan, X Xing, S Du
2015   LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement  KG Lore, A Akintayo, S Sarkar
2015   Real-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder  A Majumdar
2015   Archetypal Analysis as an Autoencoder  C Bauckhage, K Kersting, F Hoppe, C Thurau
2015   Stacked Autoencoder 를 이용한 특징 추출 기반 Fuzzy k-Nearest Neighbors 패턴 분류기 설계  S Autoencoder
2015   Design of Fuzzy k-Nearest Neighbors Classifiers based on Feature Extraction by using Stacked Autoencoder  석범노, 성권오
2015   Comparing Recursive Autoencoder and Convolutional Network for Phrase-Level Sentiment Polarity Classification  J Jurgovsky, M Granitzer
2015   Recursive Autoencoder with HowNet Lexicon for Sentence-Level Sentiment Analysis  X Fu, Y Xu
2015   Bearing fault diagnosis method based on stacked autoencoder and softmax regression  S Tao, T Zhang, J Yang, X Wang, W Lu
2015   Denoising hybrid noises in image with stacked autoencoder  X Ye, L Wang, H Xing, L Huang
2014   Cross-modal Retrieval with Correspondence Autoencoder  F Feng, X Wang, R Li
2014   Deep Learning Representation using Autoencoder for 3D Shape Retrieval  Z Zhu, X Wang, S Bai, C Yao, X Bai
2014   Autoencoder Trees  O İrsoy, E Alpaydın
2014   Feature Learning from Incomplete EEG with Denoising Autoencoder  J Li, Z Struzik, L Zhang, A Cichocki
2014   3D object retrieval with stacked local convolutional autoencoder  B Leng, S Guo, X Zhang, Z Xiong
2014   The Potential Energy of an Autoencoder  H Kamyshanska, R Memisevic
2014   Learning Feature Representations with a Cost-Relevant Sparse Autoencoder  M Längkvist, A Loutfi
2014   Relational Stacked Denoising Autoencoder for Tag Recommendation  H Wang, X Shi, DY Yeung