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ICCV
2011
IEEE
13 years 12 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
CVPR
1999
IEEE
16 years 1 months ago
Deformable Template and Distribution Mixture-Based Data Modeling for the Endocardial Contour Tracking in an Echographic Sequence
We1 present a new method to shape-based segmentation of deformable anatomical structures in medical images and validate this approach by detecting and tracking the endocardial bor...
Max Mignotte, Jean Meunier
CVPR
2005
IEEE
16 years 1 months ago
Subspace Analysis Using Random Mixture Models
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
Xiaogang Wang, Xiaoou Tang
INFOCOM
2007
IEEE
15 years 6 months ago
Modeling Malware Propagation in Networks of Smart Cell Phones with Spatial Dynamics
Abstract— Recent outbreaks of virus and worm attacks targeted at cell phones have have bought to the forefront the seriousness of the security threat to this increasingly popular...
Krishna K. Ramachandran, Biplab Sikdar
FIMH
2007
Springer
15 years 6 months ago
Constitutive Modeling of Cardiac Tissue Growth
Abstract. Long term responses of the heart to e.g. infarction or surgical intervention are related to response of the tissue to changes in the mechanical environment. The tissue re...
Wilco Kroon, Tammo Delhaas, Theo Arts, Peter Boven...