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148
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CVPR
2008
IEEE
16 years 5 months ago
Constrained spectral clustering through affinity propagation
Pairwise constraints specify whether or not two samples should be in one cluster. Although it has been successful to incorporate them into traditional clustering methods, such as ...
Miguel Á. Carreira-Perpiñán, ...
ICIP
2003
IEEE
16 years 5 months ago
Statistical learning for effective visual information retrieval
For effective retrieval of visual information, statistical learning plays a pivotal role. Statistical learning in such a context faces at least two major mathematical challenges: ...
Edward Y. Chang, Beitao Li, Gang Wu, Kingshy Goh
ICIP
2009
IEEE
16 years 4 months ago
Depth Map Enhanced Macroblock Partitioning For H.264 Video Coding Of Computer Graphics Content
In this paper, we present a method to speed up video encoding of GPU rendered scenes. Modern video codecs, like H.264/AVC, are based on motion compensation and support partitionin...
137
Voted
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
16 years 4 months ago
Privacy-Preserving Data Mining through Knowledge Model Sharing
Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...
Patrick Sharkey, Hongwei Tian, Weining Zhang, Shou...
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
16 years 4 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen