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MICCAI
2010
Springer
13 years 7 months ago
Generalized Sparse Classifiers for Decoding Cognitive States in fMRI
The high dimensionality of functional magnetic resonance imaging (fMRI) data presents major challenges to fMRI pattern classification. Directly applying standard classifiers often ...
Bernard Ng, Arash Vahdat, Ghassan Hamarneh, Rafeef...
ICCV
2011
IEEE
12 years 9 months ago
Generalized Roof Duality for Pseudo-Boolean Optimization
The number of applications in computer vision that model higher-order interactions has exploded over the last few years. The standard technique for solving such problems is to red...
Fredrik Kahl, Petter Strandmark
SIAMMAX
2010
145views more  SIAMMAX 2010»
13 years 3 months ago
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection
In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...
Zhaosong Lu
WOSP
2010
ACM
14 years 3 months ago
A general result for deriving product-form solutions in markovian models
In this paper we provide a general method to derive productform solutions for stochastic models. We take inspiration from the Reversed Compound Agent Theorem [14] and we provide a...
Andrea Marin, Maria Grazia Vigliotti
CVPR
2012
IEEE
11 years 11 months ago
A tiered move-making algorithm for general pairwise MRFs
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr