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» SpAM: Sparse Additive Models
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DAGM
2006
Springer
13 years 11 months ago
Segmentation-Based Motion with Occlusions Using Graph-Cut Optimization
Abstract. We propose to tackle the optical flow problem by a combination of two recent advances in the computation of dense correspondences, namely the incorporation of image segme...
Michael Bleyer, Christoph Rhemann, Margrit Gelautz
AAAI
2010
13 years 8 months ago
Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
Ian Porteous, Arthur Asuncion, Max Welling
JMLR
2006
190views more  JMLR 2006»
13 years 7 months ago
Causal Graph Based Decomposition of Factored MDPs
We present Variable Influence Structure Analysis, or VISA, an algorithm that performs hierarchical decomposition of factored Markov decision processes. VISA uses a dynamic Bayesia...
Anders Jonsson, Andrew G. Barto
SECURWARE
2008
IEEE
14 years 1 months ago
ToLeRating UR-STD
A new emerging paradigm of Uncertain Risk of Suspicion, Threat and Danger, observed across the field of information security, is described. Based on this paradigm a novel approac...
Jan Feyereisl, Uwe Aickelin
BIBE
2007
IEEE
114views Bioinformatics» more  BIBE 2007»
14 years 1 months ago
A Hierarchical Grow-and-Match Algorithm for Backbone Resonance Assignments Given 3D Structure
Abstract—This paper develops an algorithm for NMR backbone resonance assignment given a 3D structure and a set of relatively sparse 15 N-edited NMR data, with the through-space 1...
Fei Xiong, Chris Bailey-Kellogg