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CVPR
2004
IEEE
14 years 10 months ago
A Graphical Model Framework for Coupling MRFs and Deformable Models
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
SCIA
2005
Springer
158views Image Analysis» more  SCIA 2005»
14 years 1 months ago
A Graph Representation of Filter Networks
Abstract. Filter networks, i.e. decomposition of a filter set into a layered structure of sparse subfilters has been proven successful for e.g. efficient convolution using finit...
Björn Svensson, Mats T. Andersson, Hans Knuts...
CVPR
2007
IEEE
14 years 10 months ago
Simultaneous Covariance Driven Correspondence (CDC) and Transformation Estimation in the Expectation Maximization Framework
This paper proposes a new registration algorithm, Covariance Driven Correspondences (CDC), that depends fundamentally on the estimation of uncertainty in point correspondences. Th...
Michal Sofka, Gehua Yang, Charles V. Stewart
NSPW
2004
ACM
14 years 1 months ago
A qualitative framework for Shannon information theories
This paper presents a new paradigm for information theory which is a synthesis of Barwise-Seligman’s qualitative theory and Shannon’s quantitative theory. The new paradigm is ...
Gerard Allwein
ICANN
2007
Springer
14 years 2 months ago
Structure Learning with Nonparametric Decomposable Models
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Anton Schwaighofer, Mathäus Dejori, Volker Tr...