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» Genetic Algorithms for Component Analysis
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148
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MM
2006
ACM
203views Multimedia» more  MM 2006»
15 years 9 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
137
Voted
STOC
2009
ACM
99views Algorithms» more  STOC 2009»
16 years 4 months ago
Testing juntas nearly optimally
A function on n variables is called a k-junta if it depends on at most k of its variables. In this article, we show that it is possible to test whether a function is a k-junta or ...
Eric Blais
CVPR
2004
IEEE
16 years 5 months ago
A Rao-Blackwellized Particle Filter for EigenTracking
Subspace representations have been a popular way to model appearance in computer vision. In Jepson and Black's influential paper on EigenTracking, they were successfully appl...
Zia Khan, Tucker R. Balch, Frank Dellaert
ICDE
2005
IEEE
143views Database» more  ICDE 2005»
16 years 4 months ago
Postgres-R(SI): Combining Replica Control with Concurrency Control based on Snapshot Isolation
Replicating data over a cluster of workstations is a powerful tool to increase performance, and provide faulttolerance for demanding database applications. The big challenge in su...
Shuqing Wu, Bettina Kemme
138
Voted
ICPR
2006
IEEE
16 years 4 months ago
Dimensionality Reduction with Adaptive Kernels
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
Shuicheng Yan, Xiaoou Tang