—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
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...
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...
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...
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...