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» Approximation algorithms for co-clustering
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197
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ICMLA
2009
15 years 4 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara
197
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ANOR
2010
130views more  ANOR 2010»
15 years 4 months ago
Greedy scheduling with custom-made objectives
We present a methodology to automatically generate an online job scheduling method for a custom-made objective and real workloads. The scheduling problem comprises independent para...
Carsten Franke, Joachim Lepping, Uwe Schwiegelshoh...
CGF
2010
135views more  CGF 2010»
15 years 3 months ago
Interactive Rendering of Non-Constant, Refractive Media Using the Ray Equations of Gradient-Index Optics
Existing algorithms can efficiently render refractive objects of constant refractive index. For a medium with a continuously varying index of refraction, most algorithms use the r...
Chen Cao, Zhong Ren, Baining Guo, Kun Zhou
178
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DAM
2011
15 years 1 months ago
Matchability and k-maximal matchings
We present a collection of new structural, algorithmic, and complexity results for two types of matching problems. The first problem involves the computation of k-maximal matchin...
Brian C. Dean, Sandra Mitchell Hedetniemi, Stephen...
PAMI
2011
15 years 1 months ago
Parallel Spectral Clustering in Distributed Systems
Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms such as k-means. However, spectral clustering suffers fro...
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen ...