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» Learning Mid-Level Features For Recognition
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CIKM
2009
Springer
14 years 2 months ago
Large margin transductive transfer learning
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
Brian Quanz, Jun Huan
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
13 years 11 months ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
VIS
2009
IEEE
399views Visualization» more  VIS 2009»
14 years 8 months ago
Visual Human+Machine Learning
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
Raphael Fuchs, Jürgen Waser, Meister Eduard GrÃ...
MM
2006
ACM
157views Multimedia» more  MM 2006»
14 years 1 months ago
Player action recognition in broadcast tennis video with applications to semantic analysis of sports game
Recognition of player actions in broadcast sports video is a challenging task due to low resolution of the players in video frames. In this paper, we present a novel method to rec...
Guangyu Zhu, Changsheng Xu, Qingming Huang, Wen Ga...
ICMI
2004
Springer
215views Biometrics» more  ICMI 2004»
14 years 1 months ago
Bimodal HCI-related affect recognition
Perhaps the most fundamental application of affective computing would be Human-Computer Interaction (HCI) in which the computer is able to detect and track the user’s affective ...
Zhihong Zeng, Jilin Tu, Ming Liu, Tong Zhang, Nich...