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» Learning a Maximum Margin Subspace for Image Retrieval
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TKDE
2008
195views more  TKDE 2008»
9 years 11 months ago
Learning a Maximum Margin Subspace for Image Retrieval
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
Xiaofei He, Deng Cai, Jiawei Han
KDD
2004
ACM
187views Data Mining» more  KDD 2004»
11 years 3 days ago
IMMC: incremental maximum margin criterion
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, H...
AAAI
2010
9 years 9 months ago
Non-I.I.D. Multi-Instance Dimensionality Reduction by Learning a Maximum Bag Margin Subspace
Multi-instance learning, as other machine learning tasks, also suffers from the curse of dimensionality. Although dimensionality reduction methods have been investigated for many ...
Wei Ping, Ye Xu, Kexin Ren, Chi-Hung Chi, Shen Fur...
AAAI
2015
4 years 7 months ago
Bayesian Maximum Margin Principal Component Analysis
Supervised dimensionality reduction has shown great advantages in ļ¬nding predictive subspaces. Previous methods rarely consider the popular maximum margin principle and are pron...
Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi...
CVPR
2007
IEEE
11 years 1 months ago
Learning a Spatially Smooth Subspace for Face Recognition
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...
Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thoma...
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