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TKDE
2011
479views more  TKDE 2011»
14 years 12 months ago
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
Wei Zhang, Zhouchen Lin, Xiaoou Tang
IWANN
2001
Springer
15 years 9 months ago
Character Feature Extraction Using Polygonal Projection Sweep (Contour Detection)
It is presented in this paper a new approach to the problem of feature extraction. The approach is based on the edge detection, where a set of feature vectors is taken from the sou...
Roberto J. Rodrigues, Gizelle Kupac Vianna, Antoni...
ICMCS
2007
IEEE
192views Multimedia» more  ICMCS 2007»
15 years 11 months ago
Effective Extraction of Gabor Features for Adaptive Mammogram Retrieval
Breast cancer is one of the most common diseases among women. Content-based mammogram retrieval has been proposed to aid various medical procedures. To develop a content-based mam...
Chia-Hung Wei, Yue Li, Chang-Tsun Li
MM
2000
ACM
98views Multimedia» more  MM 2000»
15 years 9 months ago
Key-frame extraction and shot retrieval using nearest feature line (NFL)
Query by key frame or video example is a convenient and often effective way to search in video database. This paper proposes a new approach to support such searches. The main cont...
Li Zhao, Wei Qi, Stan Z. Li, Shi-Qiang Yang, HongJ...
CVPR
2007
IEEE
16 years 7 months ago
Feature Extraction by Maximizing the Average Neighborhood Margin
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
Fei Wang, Changshui Zhang