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» BDD minimization for approximate computing
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ICPR
2008
IEEE
15 years 5 months ago
Robust estimation of foreground in surveillance videos by sparse error estimation
Frames of videos with static background and dynamic foreground can be viewed as samples of signals that vary slowly in time with sparse corruption caused by foreground objects. We...
Mert Dikmen, Thomas S. Huang
ICASSP
2011
IEEE
14 years 2 months ago
Nonnegative 3-way tensor factorization via conjugate gradient with globally optimal stepsize
This paper deals with the minimal polyadic decomposition (also known as canonical decomposition or Parafac) of a 3way array, assuming each entry is positive. In this case, the low...
Jean-Philip Royer, Pierre Comon, Nadège Thi...
CVPR
2012
IEEE
13 years 1 months ago
Multiclass pixel labeling with non-local matching constraints
A popular approach to pixel labeling problems, such as multiclass image segmentation, is to construct a pairwise conditional Markov random field (CRF) over image pixels where the...
Stephen Gould
ICML
2010
IEEE
14 years 12 months ago
A scalable trust-region algorithm with application to mixed-norm regression
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
ECAI
2006
Springer
15 years 2 months ago
Extracting MUSes
Minimally unsatisfiable subformulas (in short, MUSes) represent the smallest explanations for the inconsistency of SAT instances in terms of the number of involved clauses. Extract...
Éric Grégoire, Bertrand Mazure, C&ea...