Deep Learning Publication Navigator - subtopic: regression


Year TitleAuthor
2017   Leveraging temporal autocorrelation of historical data for improving accuracy in network regression  C Loglisci, D Malerba
2017   End-to-End Learning of Geometry and Context for Deep Stereo Regression  A Kendall, H Martirosyan, S Dasgupta, P Henry
2017   Hierarchical Vertex Regression Based Segmentation of Head and Neck CT Images for Radiotherapy Planning  Z Wang, L Wei, L Wang, Y Gao, W Chen, D Shen 
2017   Robust Hand Pose Regression Using Convolutional Neural Networks  F Gomez
2017   Deep Ensemble Learning of Sparse Regression Models for Brain Disease Diagnosis  HI Suk, SW Lee, D Shen
2017   TORNADO: A Spatio-Temporal Convolutional Regression Network for Video Action Proposal  H Zhu, R Vial, S Lu
2017   Vehicle Detection and Counting in High-Resolution Aerial Images Using Convolutional Regression Neural Network  H Tayara, KG Soo, KT Chong 
2017   A Fast and Compact Salient Score Regression Network Based on Fully Convolutional Network  X Xi, Y Luo, F Li, P Wang, H Qiao
2017   Constructing a Deep Regression Model Utilizing Cascaded Sparse Autoencoders and Stochastic Gradient Descent  A Moussavi
2017   Blind Image Quality Assessment via Vector Regression and Object Oriented Pooling  J Gu, G Meng, J Redi, S Xiang, C Pan 
2017   Low-rank hypergraph feature selection for multi-output regression  X Zhu, R Hu, C Lei, KH Thung, W Zheng, C Wang 
2017   Deep Regression Bayesian Network and Its Applications  S Nie, M Zheng, Q Ji 
2017   Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences  XS Wei, CL Zhang, H Zhang, J Wu 
2017   Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression  AS Jackson, A Bulat, V Argyriou, G Tzimiropoulos
2017   Probabilistic Spatial Regression using a Deep Fully Convolutional Neural Network  GG Slabaugh, K Knapp, SM Al
2017   Big Data Regression Using Tree Based Segmentation  R Sambasivan, S Das
2017   Random forest regression based acoustic event detection with bottleneck features  X Xia, R Togneri, F Sohel, D Huang
2017   Geometric loss functions for camera pose regression with deep learning  A Kendall, R Cipolla
2017   Saliency-Based Artistic Abstraction With Deep Learning and Regression Trees  H Shakeri, M Nixon, S DiPaola 
2017   Simple Very Deep Convolutional Network for Robust Hand Pose Regression from a Single Depth Image  Q Fan, X Shen, Y Hu, C Yu 
2017   Deep Metric Learning for Crowdedness Regression  Q Wang, J Wan, Y Yuan
2017   Load Forecasting using Linear Regression Analysis and Moving Average Technique in Time Series Model for RGUKT, RK Valley Campus HT Feeder  MD Reddy, N Vishali
2017   Model-Free Deep Inverse Reinforcement Learning by Logistic Regression  E Uchibe
2017   Fully Convolutional Regression Network for Accurate Detection of Measurement Points  M Sofka, F Milletari, J Jia, A Rothberg
2017   Deep Neural Network Regression for Short-Term Load Forecasting of Natural Gas  G Merkel, RJ Povinelli, RH Brown
2017   Deep Neural Network Regression as a Component of a Forecast Ensemble  RJ Povinelli, G Merkel, RH Brown
2017   Deep Recurrent Regression for Facial Landmark Detection  H Lai, S Xiao, Y Pan, Z Cui, J Feng, C Xu, J Yin, S Yan
2017   A hybrid technique based on convolutional neural network and support vector regression for intelligent diagnosis of rotating machinery  W You, C Shen, X Guo, X Jiang, J Shi, Z Zhu
2017   Forecasting Air Quality Index Using an Ensemble of Artificial Neural Networks and Regression Models  SS Ganesh, P Arulmozhivarman, R Tatavarti 
2017   Learning Robot Activities from First-Person Human Videos Using Convolutional Future Regression  J Lee, MS Ryoo
2017   Boosting Deep Attribute Learning via Support Vector Regression for Fast Moving Crowd Counting  X Wei, J Du, M Liang, L Ye 
2017   On deep learning as a remedy for the curse of dimensionality in nonparametric regression  B Bauer, M Kohler
2017   GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network  F Dubost, G Bortsova, H Adams, A Ikram, W Niessen
2017   Wind Power Prediction using Deep Neural Network based Meta Regression and Transfer Learning  AS Qureshi, A Khan, A Zameer, A Usman
2017   Deep-learning-based regression model and hyperspectral imaging for rapid detection of nitrogen concentration in oilseed rape (Brassica napus L.) leaf  X Yu, H Lu, Q Liu 
2017   Unsupervised body part regression using convolutional neural network with self-organization  K Yan, L Lu, RM Summers
2017   Face Alignment Using a Deep Neural Network with Local Feature Learning and Recurrent Regression  BH Park, SY Oh, IJ Kim
2017   3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation  T Kitasaka, K Misawa, M Fujiwara, D Rueckert, K Mori
2017   Erratum to: Fast Predictive Simple Geodesic Regression  Z Ding, G Fleishman, X Yang, P Thompson, R Kwitt 
2017   Convolutional neural network regression for short-axis left ventricle segmentation in cardiac cine MR sequences  LK Tan, YM Liew, E Lim, RA McLaughlin
2017   Cascaded Boundary Regression for Temporal Action Detection  J Gao, Z Yang, R Nevatia
2017   Deep Learning Based Regression and Multi-class Models for Acute Oral Toxicity Prediction  Y Xu, J Pei, L Lai
2017   Multi-Target Regression via Robust Low-Rank Learning  X Zhen, M Yu, X He, S Li
2017   Expectile regression neural network model with applications  C Jiang, M Jiang, Q Xu, X Huang
2017   Modelling speech emotion recognition using logistic regression and decision trees  A Jacob
2017   Softmax regression based deep sparse autoencoder network for facial emotion recognition in human-robot interaction  L Chen, M Zhou, W Su, M Wu, J She, K Hirota 
2017   A deep learning and softmax regression fault diagnosis method for multi-level converter  B Xin, T Wang, T Tang 
2017   Human Pose Regression by Combining Indirect Part Detection and Contextual Information  DC Luvizon, H Tabia, D Picard 
2017   Transferring Face Verification Nets To Pain and Expression Regression  F Wang, X Xiang, C Liu, TD Tran, A Reiter, GD Hager
2017   Regression convolutional network for vanishing point detection  Y Shuai, Y Tiantian, Y Guodong, L Zize
2017   Leukemia Early Screening by Using NIR Spectroscopy and LAR-PLS Regression Model  Y Qi, Z Liu, X Pan, W Zhang, S Yan, B Gan, H Yang 
2016   Generalized Deep Image to Image Regression  V Santhanam, VI Morariu, LS Davis
2016   Supplementary Material For: Adaptive Cascaded Regression  E Antonakos, P Snape, G Trigeorgis, S Zafeiriou
2016   Human pose estimation via convolutional part heatmap regression  A Bulat, G Tzimiropoulos
2016   Single image super-resolution using regularization of non-local steering kernel regression  K Zhang, X Gao, J Li, H Xia
2016   Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life  GS Babu, P Zhao, XL Li
2016   Deep Kinematic Pose Regression  X Zhou, X Sun, W Zhang, S Liang, Y Wei
2016   Convolutional Regression for Visual Tracking  K Chen, W Tao
2016   Learning to Track at 100 FPS with Deep Regression Networks  D Held, S Thrun, S Savarese
2016   Text classification based on deep belief network and softmax regression  M Jiang, Y Liang, X Feng, X Fan, Z Pei, Y Xue, R Guan
2016   Cross-modality Consistent Regression for Joint Visual-Textual Sentiment Analysis of Social Multimedia  Q You, J Luo, H Jin, J Yang
2016   Learning from Unbalanced Stream Data in Non-Stationary Environments Using Logistic Regression Model: A Novel Approach Using Machine Learning for …  PD Kulkarni, R Ade
2016   On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions  P Duda, L Pietruczuk, M Jaworski, A Krzyzak
2016   Text Summarization using Deep Learning and Ridge Regression  KB Mani
2016   3D Human Pose Estimation from a Single Image via Distance Matrix Regression  F Moreno
2016   Deep Wavelet Scattering for Quantum Energy Regression  M Hirn
2016   Face Alignment by Local Deep Descriptor Regression  A Kumar, R Ranjan, V Patel, R Chellappa
2016   Deep Inverse Reinforcement Learning by Logistic Regression  E Uchibe
2016   Automated mitosis detection with deep regression networks  H Chen, X Wang, PA Heng
2016   Hierarchical Deep Neural Network for Multivariate Regression  J Du, Y Xu
2016   Fully DNN-based Multi-label regression for audio tagging  Y Xu, Q Huang, W Wang, PJB Jackson, MD Plumbley
2016   Robust Discriminative Regression for Facial Landmark Localization under Occlusion  Y Wang, J Yue, Y Dong, Z Hu
2016   Counting People in Crowded Scenes via Detection and Regression Fusion  C Zalluhoglu, N Ikizler
2016   Stacked Approximated Regression Machine: A Simple Deep Learning Approach  Z Wang, S Chang, Q Ling, S Huang, X Hu, H Shi
2016   Image super-resolution using non-local Gaussian process regression  H Wang, X Gao, K Zhang, J Li
2016   DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild  RA Güler, G Trigeorgis, E Antonakos, P Snape
2016   Siamese Regression Networks with Efficient mid-level Feature Extraction for 3D Object Pose Estimation  A Doumanoglou, V Balntas, R Kouskouridas, TK Kim
2016   Recognizing End-Diastole and End-Systole Frames via Deep Temporal Regression Network  B Kong, Y Zhan, M Shin, T Denny, S Zhang
2016   Highly Efficient Regression for Scalable Person Re-Identification  H Wang, S Gong, T Xiang
2016   Microscopy cell counting and detection with fully convolutional regression networks  W Xie, JA Noble, A Zisserman
2016   A Regression Approach to Single-Channel Speech Separation Via High-Resolution Deep Neural Networks  J Du, Y Tu, LR Dai, CH Lee
2016   Towards implementation of residual-feedback GMDH neural network on parallel GPU memory guided by a regression curve  R Brito, S Fong, K Cho, W Song, R Wong
2016   Deep Gaussian Processes for Regression using Approximate Expectation Propagation  TD Bui, D Hernández
2015   Unsupervised feature selection based on spectral regression from manifold learning for facial expression recognition  L Wang, K Wang, R Li
2015   Cascaded Hand Pose Regression  X Sun, Y Wei, S Liang, X Tang, J Sun
2015   Using Genetic Programming with Prior Formula Knowledge to Solve Symbolic Regression Problem  Q Lu, J Ren, Z Wang
2015   Quantum Energy Regression using Scattering Transforms  M Hirn, N Poilvert, S Mallat
2015   Manifold Learning in Regression Tasks  A Bernstein, A Kuleshov, Y Yanovich
2015   Gaussian processes methods for nostationary regression  L Muñoz González
2015   Deep Cascaded Regression for Face Alignment  H Lai, S Xiao, Z Cui, Y Pan, C Xu, S Yan
2015   Multi-Scale Deep Networks and Regression Forests for Direct Bi-ventricular Volume Estimation  X Zhena, Z Wangb, A Islamc, M Bhadurid, I Chand
2015   Leveraging Datasets With Varying Annotations for Face Alignment via Deep Regression Network  J Zhang, M Kan, S Shan, X Chen
2015   Intensity-Depth Face Alignment Using Cascade Shape Regression  Y Cao, BL Lu
2015   Non-Linear Text Regression with a Deep Convolutional Neural Network  Z Bitvai, T Cohn
2015   Conditioned Regression Models for Non-Blind Single Image Super-Resolution  GRSSM Rüther, H Bischof
2015   Deep Human Parsing with Active Template Regression  X Liang, S Liu, X Shen, J Yang, L Liu, L Lin, S Yan
2015   Improved speech inversion using general regression neural network  S Najnin, B Banerjee
2015   The Improvement of Structured-output Regression Forests on Detection about Face Parts⋆  J KONG, K SUN, M JIANG, H HUO, A YIMING
2015   Microscopy Cell Counting with Fully Convolutional Regression Networks  W Xie, JA Noble, A Zisserman
2015   Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained using a Mixture of Synthetic and Real Images with Dynamic Weighting  ZH Feng, G Hu, J Kittler, B Christmas, X Wu
2015   Globally Tuned Cascade Pose Regression via Back Propagation with Application in 2D Face Pose Estimation and Heart Segmentation in 3D CT Images  P Sun, JK Min, G Xiong
2015   Latent Regression Bayesian Network for Data Representation  S Nie, Q Ji
2015   The Recent Developments and Comparative Analysis of Neural Network and Evolutionary Algorithms for Solving Symbolic Regression  X Dong, W Dong, Y Yi, Y Wang, X Xu
2015   Prosody Generation Using Frame-based Gaussian Process Regression  T Koriyama, T Kobayashi
2015   Be at Odds? Deep and Hierarchical Neural Networks for Classification and Regression of Conflict in Speech  R Brueckner, B Schuller
2015   Robust Optimization for Deep Regression  V Belagiannis, C Rupprecht, G Carneiro, N Navab
2015   Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression  Z Huang, E Zhou, Z Cao
2015   Improved Mispronunciation Detection with Deep Neural Network Trained Acoustic Models and Transfer Learning based Logistic Regression Classifiers  W Hu, Y Qian, FK Soong, Y Wang
2015   A novel method of diagnosing premature ventricular contraction based on sparse auto-encoder and softmax regression  J Yang, Y Bai, G Li, M Liu, X Liu
2015   State of health estimation combining robust deep feature learning with support vector regression  LQ Qiao, LJ Xun
2015   Bearing fault diagnosis method based on stacked autoencoder and softmax regression  S Tao, T Zhang, J Yang, X Wang, W Lu
2015   Privileged Information-based Conditional Structured Output Regression Forest for Facial Point Detection  H Yang, I Patras
2014   A Deep and Stable Extreme Learning Approach for Classification and Regression  W Huang, F Sun
2014   Training Generalized Feedforword Kernelized Neural Networks on Very Large Datasets for Regression Using Minimal-Enclosing-Ball Approximation  J Wang, Z Deng, S Wang, Q Gao
2014   A new Neural Network based logistic regression classifier for improving mispronunciation detection of L2 language learners  W Hu, Y Qian, FK Soong
2014   A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution  R Timofte, V De Smet, L Van Gool
2014   Hyper-Spectral Image Analysis with Partially-Latent Regression and Spatial Markov Dependencies  A Deleforge, F Forbes, S Ba, R Horaud
2014   Writer Adaptation using Bottleneck Features and Discriminative Linear Regression for Online Handwritten Chinese Character Recognition  J Du, JS Hu, B Zhu, S Wei, LR Dai
2014   Facial Landmark Localization using Hierarchical Pose Regression  Z Zhang, W Zhang, J Liu, X Tang
2014   Deep Regression for Face Alignment  B Shi, X Bai, W Liu, J Wang
2014   Transparent-supported radiance regression function  X Qin, S Xiao
2014   Supervised feature learning via ℓ2-norm regularized logistic regression for 3D object recognition  F Zou, Y Wang, Y Yang, K Zhou, Y Chen, J Song
2014   Low rank driven robust facial landmark regression  Y Sun, Q Liu, H Lu