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TKDE
2011
479views more  TKDE 2011»
14 years 4 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
ICPR
2008
IEEE
15 years 4 months ago
Object-of-interest extraction by integrating stochastic inference with learnt active shape sketch
This article presents a novel integrated approach to object of interest extraction, including learning to define target pattern and extracting by combining detection and segmenta...
Hongwei Li, Liang Lin, Tianfu Wu, Xiaobai Liu, Lan...
ICB
2007
Springer
163views Biometrics» more  ICB 2007»
15 years 3 months ago
Palmprint Recognition Based on Directional Features and Graph Matching
Palmprint recognition, as a reliable personal identity check method, has been receiving increasing attention during recent years. According to previous work, local texture analysis...
Yufei Han, Tieniu Tan, Zhenan Sun
95
Voted
CRV
2005
IEEE
181views Robotics» more  CRV 2005»
15 years 3 months ago
New Multi-baseline Stereo by Counting Interest Points
This paper proposes a novel method for estimating depth from a long image sequence captured by a moving camera. Our idea for estimating a depth map is very simple; only counting i...
Tomokazu Sato, Naokazu Yokoya
AAAI
2010
14 years 11 months ago
Efficient Spectral Feature Selection with Minimum Redundancy
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...
Zheng Zhao, Lei Wang, Huan Liu