Alert button
Picture for Jian Huang

Jian Huang

Alert button

Speech Emotion Recognition via Contrastive Loss under Siamese Networks

Oct 23, 2019
Zheng Lian, Ya Li, Jianhua Tao, Jian Huang

Figure 1 for Speech Emotion Recognition via Contrastive Loss under Siamese Networks
Figure 2 for Speech Emotion Recognition via Contrastive Loss under Siamese Networks
Figure 3 for Speech Emotion Recognition via Contrastive Loss under Siamese Networks
Figure 4 for Speech Emotion Recognition via Contrastive Loss under Siamese Networks
Viaarxiv icon

On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression

Mar 25, 2019
Dongrui Wu, Chin-Teng Lin, Jian Huang, Zhigang Zeng

Figure 1 for On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression
Figure 2 for On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression
Figure 3 for On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression
Figure 4 for On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression
Viaarxiv icon

Improving speech emotion recognition via Transformer-based Predictive Coding through transfer learning

Nov 11, 2018
Zheng Lian, Ya Li, Jianhua Tao, Jian Huang

Figure 1 for Improving speech emotion recognition via Transformer-based Predictive Coding through transfer learning
Figure 2 for Improving speech emotion recognition via Transformer-based Predictive Coding through transfer learning
Figure 3 for Improving speech emotion recognition via Transformer-based Predictive Coding through transfer learning
Figure 4 for Improving speech emotion recognition via Transformer-based Predictive Coding through transfer learning
Viaarxiv icon

SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties

Oct 09, 2018
Jian Huang, Yuling Jiao, Xiliang Lu, Yueyong Shi, Qinglong Yang

Figure 1 for SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties
Figure 2 for SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties
Figure 3 for SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties
Figure 4 for SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties
Viaarxiv icon

Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition

Sep 13, 2018
Zheng Lian, Ya Li, Jianhua Tao, Jian Huang

Figure 1 for Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition
Figure 2 for Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition
Figure 3 for Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition
Figure 4 for Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition
Viaarxiv icon

Affect Estimation in 3D Space Using Multi-Task Active Learning for Regression

Aug 08, 2018
Dongrui Wu, Jian Huang

Figure 1 for Affect Estimation in 3D Space Using Multi-Task Active Learning for Regression
Figure 2 for Affect Estimation in 3D Space Using Multi-Task Active Learning for Regression
Figure 3 for Affect Estimation in 3D Space Using Multi-Task Active Learning for Regression
Figure 4 for Affect Estimation in 3D Space Using Multi-Task Active Learning for Regression
Viaarxiv icon

Active Learning for Regression Using Greedy Sampling

Aug 08, 2018
Dongrui Wu, Chin-Teng Lin, Jian Huang

Figure 1 for Active Learning for Regression Using Greedy Sampling
Figure 2 for Active Learning for Regression Using Greedy Sampling
Figure 3 for Active Learning for Regression Using Greedy Sampling
Figure 4 for Active Learning for Regression Using Greedy Sampling
Viaarxiv icon

A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery

Jan 06, 2018
Jian Huang, Yuling Jiao, Bangti Jin, Jin Liu, Xiliang Lu, Can Yang

Figure 1 for A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery
Figure 2 for A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery
Figure 3 for A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery
Figure 4 for A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery
Viaarxiv icon

Photo-Guided Exploration of Volume Data Features

Oct 18, 2017
Mohammad Raji, Alok Hota, Robert Sisneros, Peter Messmer, Jian Huang

Figure 1 for Photo-Guided Exploration of Volume Data Features
Figure 2 for Photo-Guided Exploration of Volume Data Features
Figure 3 for Photo-Guided Exploration of Volume Data Features
Figure 4 for Photo-Guided Exploration of Volume Data Features
Viaarxiv icon

Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression

May 20, 2016
Congrui Yi, Jian Huang

Figure 1 for Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression
Figure 2 for Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression
Figure 3 for Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression
Figure 4 for Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression
Viaarxiv icon