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AAAI
1997
15 years 4 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 3 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
CVPR
2008
IEEE
16 years 5 months ago
Histogram-based search: A comparative study
Histograms represent a popular means for feature representation. This paper is concerned with the problem of exhaustive histogram-based image search. Several standard histogram co...
Mikhail Sizintsev, Konstantinos G. Derpanis, Andre...
CVPR
2010
IEEE
15 years 5 months ago
A Study on Continuous Max-Flow and Min-Cut Approaches
Abstract. This work addresses a class of total-variation based multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded fun...
Jing Yuan, Egil Bae, Xuecheng Tai
IPPS
1996
IEEE
15 years 7 months ago
Software Techniques for Improving MPP Bulk-Transfer Performance
Brewer and Kuszmaul [BK94] demonstrated how barriers and traffic interleaving can alleviate the problem of bulk-transfer performance degradation on the Thinking Machines CM-5, by ...
Eric A. Brewer, Paul Gauthier, Armando Fox, Angela...