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TKDE
2011
479views more  TKDE 2011»
13 years 5 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
CVPR
2007
IEEE
15 years 2 days 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
WIAMIS
2009
IEEE
14 years 4 months ago
Feature-based video key frame extraction for low quality video sequences
We present an approach to key frame extraction for structuring user generated videos on video sharing websites (e. g. YouTube). Our approach is intended to link existing image sea...
Pascal Kelm, Sebastian Schmiedeke, Thomas Sikora
JMM2
2006
145views more  JMM2 2006»
13 years 10 months ago
Improved Active Shape Model for Facial Feature Extraction in Color Images
In this paper we present an improved Active Shape Model (ASM) for facial features extraction. The original ASM developed by Cootes et al. [1] suffers from factors such as, poor mod...
Mohammad H. Mahoor, Mohamed Abdel-Mottaleb, A-Nass...

Publication
280views
13 years 28 days ago
VADANA: A dense dataset for facial image analysis
Analysis of face images has been the topic of in-depth research with wide spread applications. Face recognition, verification, age progression studies are some of the topics under...
Gowri Somanath, Rohith MV, Chandra Kambhamettu