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中国地质大学科学技术发展院陈略峰, 吴敏等自动化学院 Information Sciences, 2018. Softmax Regression Based Deep Sparse Autoencoder Network for Facial Emotion Recognition in Human-Robot Interaction
深度；学习；情感；识别；理解；计算；智能；领域
2021/10/21
近日，中国地质大学自动化学院复杂系统先进控制与智能自动化湖北省重点实验室情感计算团队，有关“基于深度学习的情感识别与理解”研究成果发表在计算智能领域国际重要期刊《Information Sciences》上。该文第一作者为自动化学院陈略峰老师，通讯作者为自动化学院吴敏教授。
How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis
Slow feature analysis feature extraction classifi cation regression pattern recognition training graphs nonlinear dimensionality reduction supervised learning high-dimensional data implicitly supervised image analysis
2015/7/10
Supervised learning from high-dimensional data, e.g., multimedia data, is a challenging task. We propose an extension of slow feature analysis (SFA) for supervised dimensionality reduction called grap...
Topic Regression
Machine Learning Topic Modeling
2014/12/18
Text documents are generally accompanied by non-textual information, such as authors, dates, publication sources, and, increasingly, automatically recognized named entities. Work in text analysis has ...
Transductive Regression with Local and Global Consistency for Image Super-Resolution
Transductive Regression Global Consistency
2013/7/24
In this paper, we propose a novel image super-resolution algorithm, referred to as interpolation based on transductive regression with local and globalconsistency (TRLGC). Our algorithmfirst con...
The Asymptotic Study of Smooth Entropy Support Vector Regression
Support Vector Machine SSVR Entropy Function Asymptotic Solution Forecasting
2013/1/28
In this paper, a novel formulation, smooth entropy support vector regression (SESVR), is proposed, which is a smooth unconstrained optimization reformulation of the traditional linear programming asso...
Abstract—The linear regression model is a very attractive toolto design effective image interpolation schemes. Some regression-based imageinterpolation algorithms have been proposedin the literature, ...
JOINT LEARNING FOR SIDE INFORMATION AND CORRELATION MODEL BASED ON LINEAR REGRESSION MODEL IN DISTRIBUTED VIDEO CODING
Side information correlation model linear regression model joint learning distributed video coding
2013/7/16
The coding efficiency of distributed video coding system is significantly determined by the side information quality and correlation model. Motivated by theoretical analysis of the maximum likelihood ...
Locally Linear Regression for Pose Invariant Face Recognition
Locally Linear Regression Pose Invariant Face Recognition
2010/12/16
The variation of facial appearance due to the viewpoint (/pose) degrades face recognition systems considerably,which is one of the bottlenecks in face recognition. One of the
possible solutions is ge...
Local Linear Regression (LLR) for Pose Invariant Face Recognition
Local Linear Regression Pose Invariant Face Recognition
2010/12/16
The variation of facial appearance due to the viewpoint (/pose) degrades face recognition systems considerably, which is well known as one of the bottlenecks in face recognition. One of the possible s...