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» Decomposing replicable functions
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106
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ICML
2007
IEEE
16 years 1 months ago
Adaptive mesh compression in 3D computer graphics using multiscale manifold learning
This paper investigates compression of 3D objects in computer graphics using manifold learning. Spectral compression uses the eigenvectors of the graph Laplacian of an object'...
Sridhar Mahadevan
98
Voted
ICML
2008
IEEE
16 years 1 months ago
Accurate max-margin training for structured output spaces
Tsochantaridis et al. (2005) proposed two formulations for maximum margin training of structured spaces: margin scaling and slack scaling. While margin scaling has been extensivel...
Sunita Sarawagi, Rahul Gupta
119
Voted
ICML
2005
IEEE
16 years 1 months ago
Predicting protein folds with structural repeats using a chain graph model
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
Yan Liu, Eric P. Xing, Jaime G. Carbonell
101
Voted
PODS
2006
ACM
104views Database» more  PODS 2006»
16 years 27 days ago
Tractable database design through bounded treewidth
Given that most elementary problems in database design are NP-hard, the currently used database design algorithms produce suboptimal results. For example, the current 3NF decompos...
Georg Gottlob, Reinhard Pichler, Fang Wei
92
Voted
DCC
2005
IEEE
16 years 11 days ago
When is Bit Allocation for Predictive Video Coding Easy?
This paper addresses the problem of bit allocation among frames in a predictively encoded video sequence. Finding optimal solutions to this problem potentially requires making an ...
Yegnaswamy Sermadevi, Jun Chen, Sheila S. Hemami, ...