activity
20182020
most citedCanonical Correlation Analysis (CCA) Based Multi-View Learning: An Overview

33 citations · 41 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2020★ 5 cited

FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief

Zhenhua Shi, Dongrui Wu, Chenfeng Guo +3

To effectively optimize Takagi-Sugeno-Kang (TSK) fuzzy systems for regression problems, a mini-batch gradient descent with regularization, DropRule, and AdaBound (MBGD-RDA) algorit…

cs.LG2020

BoostTree and BoostForest for Ensemble Learning

Changming Zhao, Dongrui Wu, Jian Huang +4

Bootstrap aggregating (Bagging) and boosting are two popular ensemble learning approaches, which combine multiple base learners to generate a composite model for more accurate and…

cs.LG2019★ 33 cited

Canonical Correlation Analysis (CCA) Based Multi-View Learning: An Overview

Chenfeng Guo, Dongrui Wu

Multi-view learning (MVL) is a strategy for fusing data from different sources or subsets. Canonical correlation analysis (CCA) is very important in MVL, whose main idea is to map…

cs.LG2018★ 1 cited

Feature Dimensionality Reduction for Video Affect Classification: A Comparative Study

Chenfeng Guo, Dongrui Wu

Affective computing has become a very important research area in human-machine interaction. However, affects are subjective, subtle, and uncertain. So, it is very difficult to obta…

cs.CV2018★ 2 cited

OMG - Emotion Challenge Solution

Yuqi Cui, Xiao Zhang, Yang Wang +2

This short paper describes our solution to the 2018 IEEE World Congress on Computational Intelligence One-Minute Gradual-Emotional Behavior Challenge, whose goal was to estimate co…