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» Using Problems to Learn Service-Oriented Computing
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ECCV
2006
Springer
16 years 6 months ago
Dense Photometric Stereo by Expectation Maximization
Abstract. We formulate a robust method using Expectation Maximization (EM) to address the problem of dense photometric stereo. Previous approaches using Markov Random Fields (MRF) ...
Tai-Pang Wu, Chi-Keung Tang
148
Voted
ENTCS
2007
118views more  ENTCS 2007»
15 years 4 months ago
Safe Adaptation of Component Coordination
In the domain of software engineering, the use of software components is now a well established approach. However, it raises problems about the dynamic adaptation of these compone...
Christophe Sibertin-Blanc, Philippe Mauran, G&eacu...
NIPS
2004
15 years 6 months ago
Maximum Margin Clustering
We propose a new method for clustering based on finding maximum margin hyperplanes through data. By reformulating the problem in terms of the implied equivalence relation matrix, ...
Linli Xu, James Neufeld, Bryce Larson, Dale Schuur...
PAMI
2010
192views more  PAMI 2010»
15 years 3 months ago
Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
Carlos Alzate, Johan A. K. Suykens
STOC
2004
ACM
158views Algorithms» more  STOC 2004»
16 years 5 months ago
Collective asynchronous reading with polylogarithmic worst-case overhead
The Collect problem for an asynchronous shared-memory system has the objective for the processors to learn all values of a collection of shared registers, while minimizing the tot...
Bogdan S. Chlebus, Dariusz R. Kowalski, Alexander ...