1864 search results - page 39 / 373 » Modeling Classification and Inference Learning |
117
Voted
SIGSOFT
2009
ACM
16 years 1 months ago
2009
ACM
Many testing and analysis techniques use finite state models to validate and verify the quality of software systems. Since the specification of such models is complex and timecons...
99
Voted
MICCAI
2008
Springer
16 years 1 months ago
2008
Springer
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
118
Voted
ECCV
2008
Springer
16 years 2 months ago
2008
Springer
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
110
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ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
115
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...