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» Computing Small Search Numbers in Linear Time
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WABI
2009
Springer
130views Bioinformatics» more  WABI 2009»
14 years 2 months ago
Linear-Time Protein 3-D Structure Searching with Insertions and Deletions
It becomes more and more important to search for similar structures from molecular 3-D structure databases in the structural biology of the post genomic era. Two molecules are said...
Tetsuo Shibuya, Jesper Jansson, Kunihiko Sadakane
ICMLA
2007
13 years 9 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
ICPR
2000
IEEE
14 years 8 months ago
Face Reconstruction from a Small Number of Feature Points
This paper proposes a method for face reconstruction that makes use of only a small set of feature points. Faces can be modeled by forming linear combinations of prototypes of sha...
Bon-Woo Hwang, Seong-Whan Lee, Volker Blanz, Thoma...
STOC
2006
ACM
108views Algorithms» more  STOC 2006»
14 years 8 months ago
Extractors for a constant number of polynomially small min-entropy independent sources
We consider the problem of randomness extraction from independent sources. We construct an extractor that can extract from a constant number of independent sources of length n, ea...
Anup Rao
CVPR
2005
IEEE
14 years 7 months ago
A Framework of 2D Fisher Discriminant Analysis: Application to Face Recognition with Small Number of Training Samples
A novel framework called 2D Fisher Discriminant Analysis (2D-FDA) is proposed to deal with the Small Sample Size (SSS) problem in conventional One-Dimensional Linear Discriminan...
Hui Kong, Lei Wang, Eam Khwang Teoh, Jian-Gang Wan...