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» Two-Dimensional Linear Discriminant Analysis
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126
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TKDE
2008
195views more  TKDE 2008»
15 years 8 days 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
104
Voted
PR
2007
127views more  PR 2007»
14 years 12 months ago
Face recognition using spectral features
Face recognition is a challenging task in computer vision and pattern recognition. It is well-known that obtaining a low-dimensional feature representation with enhanced discrimin...
Fei Wang, Jingdong Wang, Changshui Zhang, James T....
89
Voted
CVPR
2010
IEEE
14 years 11 months ago
Cost-Sensitive Subspace Learning for Face Recognition
Conventional subspace learning-based face recognition aims to attain low recognition errors and assumes same loss from all misclassifications. In many real-world face recognition...
Jiwen Lu, Tan Yap-Peng
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
16 years 23 days ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
BMCBI
2007
106views more  BMCBI 2007»
15 years 15 days ago
In silico identification of NF-kappaB-regulated genes in pancreatic beta-cells
Background: Pancreatic beta-cells are the target of an autoimmune attack in type 1 diabetes mellitus (T1DM). This is mediated in part by cytokines, such as interleukin (IL)-1β an...
Najib Naamane, Jacques van Helden, Decio L. Eiziri...