Deep Learning Publication Navigator - subtopic: stacked

Year TitleAuthor
2017   Stacked convolutional auto-encoders for surface recognition based on 3d point cloud data  M Maimaitimin, K Watanabe, S Maeyama
2017   What You Expect is NOT What You Get! Questioning Reconstruction/Classification Correlation of Stacked Convolutional Auto-Encoder Features  M Alberti, M Seuret, R Ingold, M Liwicki
2017   Multimodal Neuroimaging Feature Learning with Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease.  J Shi, X Zheng, Y Li, Q Zhang, S Ying
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   On Building Ensembles of Stacked Denoising Auto-Encoding Classifiers and Their Further Improvement  RF Alvear
2017   Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery  Y Qi, C Shen, D Wang, J Shi, X Jiang, Z Zhu
2017   Facial expression recognition based on improved local ternary pattern and stacked auto-encoder  Y Wu, W Qiu
2017   Stacked Autoencoder Method for Fabric Defect Detection  A SEKER, AG YUKSEK
2017   On the Evaluation of Energy-Efficient Deep Learning Using Stacked Autoencoders on Mobile GPUs  G Falcao, LA Alexandre, J Marques, X Frazao, J Maria
2017   Learning 3D Faces from 2D Images via Stacked Contractive Autoencoder  J Zhang, K Li, Y Liang, N Li
2017   A Noisy Sparse Convolution Neural Network Based on Stacked Auto-encoders  Y Ding, X Zhang, J Tang 
2017   A deep learning framework for financial time series using stacked autoencoders and long-short term memory.  W Bao, J Yue, Y Rao
2017   Deep belief networks and stacked autoencoders for the P300 Guilty Knowledge Test  JP Kulasingham, V Vibujithan, AC De Silva
2017   Software Defect Prediction Using Stacked Denoising Autoencoders and Two-stage Ensemble Learning  H Tong, B Liu, S Wang 
2017   Stacked autoencoders for the P300 component detection  L Vareka, P Mautner
2017   Stacked Denoising Autoencoders Applied to Star/Galaxy Classification  Q Hao
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   Hyperspectral anomaly detection based on stacked denoising autoencoders  C Zhao, X Li, H Zhu
2017   Stacked Auto-Encoders for Feature Extraction with Neural Networks  S Liu, C Zhang, J Ma
2017   Land-Use Classification with Remote Sensing Image Based on Stacked Autoencoder  A Ding, X Zhou
2017   Layerwise feature selection in Stacked Sparse Auto-Encoder for tumor type prediction  V Singh, N Baranwal, RK Sevakula, NK Verma, Y Cui
2017   Coarse-to-Fine Stacked Fully Convolutional Nets for lymph node segmentation in ultrasound images  Y Zhang, MTC Ying, L Yang, AT Ahuja, DZ Chen
2017   Leveraging Stacked Denoising Autoencoder in Prediction of Pathogen-Host Protein-Protein Interactions  H Chen, J Shen, L Wang, J Song
2017   Spectral–spatial feature learning for hyperspectral imagery classification using deep stacked sparse autoencoder  G Abdi, F Samadzadegan, P Reinartz
2017   Stacked Denoising Autoencoder-Based Deep Collaborative Filtering Using the Change of Similarity  Y Suzuki, T Ozaki
2017   Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal  J Wang, X Li, L Hui, J Yang 
2017   Spectral–spatial classification of hyperspectral images using trilateral filter and stacked sparse autoencoder  C Zhao, X Wan, G Zhao, Y Yan
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   Predicting the Antigenic Variant of Human Influenza A (H3N2) Virus with a Stacked Auto-Encoder Model  Z Tan, B Xu, K Li, T Jiang, Y Peng
2017   Recognition of Human Activities in Smart Homes Using Stacked Autoencoders  NEH Mbarki, R Ejbali, M Zaied
2017   Weighted time series fault diagnosis based on a stacked sparse autoencoder  F Lv, C Wen, M Liu, Z Bao
2017   A deep learning framework for financial time series using stacked autoencoders and long-short term memory  W Bao, J Yue, Y Rao
2017   Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders  S Haldar, E Nyktari, X Ye, G Slabaugh, T Wong
2017   A deep stacked wavelet auto-encoders to supervised feature extraction to pattern classification  S Hassairi, R Ejbali, M Zaied
2017   Imposing Class-Wise Feature Similarity in Stacked Autoencoders by Nuclear Norm Regularization  K Gupta, A Majumdar 
2017   Multimodal Neuroimaging Feature Learning with Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease  J Shi, X Zheng, Y Li, Q Zhang, S Ying
2017   Stacked auto encoder training incorporating printed text data for handwritten bangla numeral recognition  M Ahmed, AK Paul, MAH Akhand
2017   Computational Methods for the Prediction of Drug-Target Interactions from Drug Fingerprints and Protein Sequences by Stacked Auto-Encoder Deep Neural Network  L Wang, ZH You, X Chen, SX Xia, F Liu, X Yan, Y Zhou
2017   Knock-Knock: Acoustic Object Recognition by using Stacked Denoising Autoencoders  S Luo, L Zhu, K Althoefer, H Liu
2017   StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks  H Zhang, T Xu, H Li, S Zhang, X Wang, X Huang 
2017   Large Scale Sensor Data Processing Based On Deep Stacked Autoencoder Network.  N ELARABY, M ELMOGY, S BARAKAT 
2017   A case for stacked autoencoder based order recognition of continuous-phase FSK  AB Ambaw, M Bari, M Doroslovački
2016   Deep Network based on Stacked Orthogonal Convex Incremental ELM Autoencoders  C Wang, J Wang, S Gu
2016   Collaborative Filtering with Stacked Denoising AutoEncoders and Sparse Inputs  F Strub, J Mary
2016   StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks  H Zhang, T Xu, H Li, S Zhang, X Huang, X Wang
2016   Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification  C Lu, ZY Wang, WL Qin, J Ma
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   Learning Dynamic Classes of Events using Stacked Multilayer Perceptron Networks  N Kanhabua, H Ren, TB Moeslund
2016   Non-Linear Hyperspectral Subspace Mapping using Stacked Auto-Encoder  N Niclas, D Gustafsson
2016   Non-Linear Hyperspectral Subspace Mapping using Stacked Autoencoder  N Wadströmer, D Gustafsson
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   Single Sample Face Recognition from Video via Stacked Supervised Auto-encoder  PJS Vega, RQ Feitosa, VHA Quirita, PN Happ
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   Improving Trajectory Modelling for DNN-based Speech Synthesis by using Stacked Bottleneck Features and Minimum Generation Error Training  Z Wu, S King
2016   Research of stacked denoising sparse autoencoder  L Meng, S Ding, N Zhang, J Zhang
2016   Semi-supervised classification of hyperspectral imagery based on stacked autoencoders  Q Fu, X Yu, X Wei, Z Xue
2016   Stacked Robust Autoencoder for Classification  J Mehta, K Gupta, A Gogna, A Majumdar, S Anand
2016   Deep Dictionary Learning vs Deep Belief Network vs Stacked Autoencoder: An Empirical Analysis  V Singhal, A Gogna, A Majumdar
2016   Image classification with stacked restricted boltzmann machines and evolutionary function array classification voter  S Chen, G Liu, C Wu, Z Jiang, J Chen
2016   SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder  NA Moubayed, T Breckon, P Matthews, AS McGough
2016   Multi-modality stacked deep polynomial network based feature learning for Alzheimer's disease diagnosis  X Zheng, J Shi, Y Li, X Liu, Q Zhang
2016   Stacked Autoencoder Based Identification of Monsoon Predictors for Prediction of Indian Summer Monsoon  M Saha, A Santara, P Mitra, A Chakraborty
2016   Stacked Face De-Noising Auto Encoders for Expression-Robust Face Recognition  CSN Pathirage, L Li, W Liu, M Zhang
2016   Stacked Hourglass Networks for Human Pose Estimation  A Newell, K Yang, J Deng
2016   Generating feature sets for fault diagnosis using denoising stacked auto-encoder  R Thirukovalluru, S Dixit, RK Sevakula, NK Verma
2016   Stacked Approximated Regression Machine: A Simple Deep Learning Approach  Z Wang, S Chang, Q Ling, S Huang, X Hu, H Shi
2016   Protein Residue-Residue Contact Prediction Using Stacked Denoising Autoencoders  IV Luttrell, J Bailey
2016   Faster learning of deep stacked autoencoders on multi-core systems using synchronized layer-wise pre-training  A Santara, D Maji, DP Tejas, P Mitra, A Gupta
2016   Improving Trajectory Modelling for DNN-based Speech Synthesis by using Stacked Bottleneck Features and Minimum Trajectory Error Training  Z Wu, S King
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   Stacked Convolutional Denoising Auto-Encoders for Feature Representation  B Du, W Xiong, J Wu, L Zhang, D Tao
2016   A Time Series Forecasting Model Based on Deep Learning Integrated Algorithm with Stacked Autoencoders and SVR for FX Prediction  H Shen, X Liang
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   Fault detection for ironmaking process based on stacked denoising autoencoders  T Zhang, W Wang, H Ye, DX Huang, H Zhang, M Li
2016   Bidirectional LSTM Networks Employing Stacked Bottleneck Features for Expressive Speech-Driven Head Motion Synthesis  K Haag, H Shimodaira
2016   Adaptive Stacked Denoising Autoencoder for Work Mode Identification of Airborne Active Phased Array Radar  H Li, W Jin, H Liu, K Zheng
2015   HEp-2 Staining Pattern Recognition Using Stacked Fisher Network for Encoding Weber Local Descriptor  XH Han, YW Chen, G Xu
2015   Multimodal fusion for sensor data using stacked autoencoders  P Zhang, X Ma, W Zhang, S Lin, H Chen, AL Yirun
2015   Fault diagnosis method study in roller bearing based on wavelet transform and stacked auto-encoder  T Junbo, L Weining, A Juneng, W Xueqian
2015   Stacked Auto-encoders for Classification of 3D Spine Models in Adolescent Idiopathic Scoliosis  WE Thong, H Labelle, J Shen, S Parent, S Kadoury
2015   Stacked denoise autoencoder based feature extraction and classification for hyperspectral images  C Xing, L Ma, X Yang
2015   Stacked What-Where Auto-encoders  J Zhao, M Mathieu, R Goroshin, Y Lecun
2015   Feature Learning Using Stacked Autoencoders to Predict the Activity of Antimicrobial Peptides  F Camacho, R Torres, R Ramos
2015   Evaluating Stacked Marginalised Denoising Autoencoders Within Domain Adaptation Methods  B Chidlovskii, G Csurka, S Clinchant
2015   Stacked Autoencoders Using Low-Power Accelerated Architectures for Object Recognition in Autonomous Systems  J Maria, J Amaro, G Falcao, LA Alexandre
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   Stacked Multi-layer Self-Organizing Map for Background Modeling  Z Zhao, X Zhang, Y Fang
2015   Training Stacked Denoising Autoencoders for Representation Learning  J Liang, K Kelly
2015   Stacked PCA Network (SPCANet): An effective deep learning for face recognition  L Tian, C Fan, Y Ming, Y Jin
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   Motion Recognition by Using a Stacked Autoencoder-Based Deep Learning Algorithm with Smart Phones  X Zhou, J Guo, S Wang
2015   Cross-lingual sentiment classification with stacked autoencoders  G Zhou, Z Zhu, T He, XT Hu
2015   Minimum trajectory error training for deep neural networks, combined with stacked bottleneck features  Z Wu, S King
2015   1000 Fps Highly Accurate Eye Detection with Stacked Denoising Autoencoder  W Tang, Y Huang, L Wang
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   Marginalizing Stacked Linear Denoising Autoencoders  M Chen, KQ Weinberger, ZE Xu, F Sha
2015   Learning Stacked Image Descriptor for Face Recognition  Z Lei, D Yi, SZ Li
2015   A study on the similarities of Deep Belief Networks and Stacked Autoencoders  A Holst, A de Giorgio, A Lansner
2015   Real-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder  A Majumdar
2015   Multimodal Video Classification with Stacked Contractive Autoencoders  Y Liu, X Feng, Z Zhou
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   Marginalised Stacked Denoising Autoencoders for Robust Representation of Real-Time Multi-View Action Recognition  F Gu, F Flórez
2015   Apply Stacked Auto-Encoder to Spam Detection  G Mi, Y Gao, Y Tan
2015   Estimating User Location in Social Media with Stacked Denoising Auto-encoders  J Liu, D Inkpen
2015   Facial age estimation by using stacked feature composition and selection  Y Li, Z Peng, D Liang, H Chang, Z Cai
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
2015   Deep Neural Networks Employing Multi-Task Learning And Stacked Bottleneck Features For Speech Synthesis  Z Wu, C Valentini
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   Static hand gesture recognition using stacked Denoising Sparse Autoencoders  V Kumar, GC Nandi, R Kala
2014   A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis  S Chatzis
2014   Stacked Quantizers for Compositional Vector Compression  J Martinez, HH Hoos, JJ Little
2014   3D object retrieval with stacked local convolutional autoencoder  B Leng, S Guo, X Zhang, Z Xiong
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   Chord Recognition with Stacked Denoising Autoencoders  N Steenbergen
2014   Stacked Extreme Learning Machines  H Zhou, GB Huang, Z Lin, H Wang, YC Soh
2014   An Adaptive Stacked Denoising Auto-Encoder Architecture for Human Action Recognition  DX Wu, W Pan, LD Xie, CX Huang
2014   Finding quasi core with simulated stacked neural networks  M Bhattacharyya, S Bandyopadhyay
2014   Relational Stacked Denoising Autoencoder for Tag Recommendation  H Wang, X Shi, DY Yeung
2014   Recognition of Handwritten Characters in Chinese Legal Amounts by Stacked Autoencoders  M Wang, Y Chen, X Wang
2014   Feature extraction with stacked autoencoders for epileptic seizure detection  A Supratak, L Li, Y Guo
2014   A Study on Layer Connection Strategies in Stacked Convolutional Deep Belief Networks  L Guo, S Li, X Niu, Y Dou