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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。
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 ...
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...
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, ...
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 ...
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...
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...

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