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» The Kernel Least-Mean-Square Algorithm
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149
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KDD
2009
ACM
230views Data Mining» more  KDD 2009»
16 years 4 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
143
Voted
PADS
2005
ACM
15 years 9 months ago
The WarpIV Simulation Kernel
ct This paper provides an overview of the WarpIV Simulation Kernel that was designed to be an initial implementation of the Standard Simulation Architecture (SSA). WarpIV is the ne...
Jeffrey S. Steinman
WASA
2009
Springer
141views Algorithms» more  WASA 2009»
15 years 10 months ago
Design and Implementation of Davis Social Links OSN Kernel
Social network popularity continues to rise as they broaden out to more users. Hidden away within these social networks is a valuable set of data that outlines everyone’s relatio...
Thomas Tran, Kelcey Chan, Shaozhi Ye, Prantik Bhat...
ICCV
2007
IEEE
16 years 5 months ago
Blurred/Non-Blurred Image Alignment using Sparseness Prior
Aligning a pair of blurred and non-blurred images is a prerequisite for many image and video restoration and graphics applications. The traditional alignment methods such as direct...
Lu Yuan, Jian Sun, Long Quan, Heung-Yeung Shum
135
Voted
ICML
2004
IEEE
16 years 4 months ago
Robust feature induction for support vector machines
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
Rong Jin, Huan Liu