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IJON
2008
121views more  IJON 2008»
13 years 9 months ago
Locality sensitive semi-supervised feature selection
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...
Jidong Zhao, Ke Lu, Xiaofei He
IJPRAI
2006
100views more  IJPRAI 2006»
13 years 9 months ago
Nearest Neighbor Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when ...
Xipeng Qiu, Lide Wu
JOCN
2010
117views more  JOCN 2010»
13 years 8 months ago
Early Top-Down Control of Visual Processing Predicts Working Memory Performance
■ Selective attention confers a behavioral benefit on both perceptual and working memory (WM) performance, often attributed to top–down modulation of sensory neural processing...
Aaron M. Rutman, Wesley C. Clapp, James Z. Chadick...
ICPR
2008
IEEE
14 years 11 months ago
Cone-restricted subspace methods
In pattern recognition, feature vectors are occasionally subject to non-negative constraints. This characteristic can be expressed by a cone in feature vector space. In this paper...
Takumi Kobayashi, Nobuyuki Otsu
ICPR
2006
IEEE
14 years 10 months ago
Feature selection for linear support vector machines
Feature selection is attracted much interest from researchers in many fields such as pattern recognition and data mining. In this paper, a novel algorithm for feature selection is...
Zhizheng Liang, Tuo Zhao