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110
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ICCV
2009
IEEE
16 years 8 months ago
Bayesian selection of scaling laws for motion modeling in images
Based on scaling laws describing the statistical structure of turbulent motion across scales, we propose a multiscale and non-parametric regularizer for optic-flow estimation. R...
Patrick H´eas, Etienne M´emin, Dominique Heitz, ...
117
Voted
CLOR
2006
15 years 7 months ago
Generative Models for Labeling Multi-object Configurations in Images
Abstract. We propose a generative approach to the problem of labeling images containing configurations of objects from multiple classes. The main building blocks are dense statisti...
Yali Amit, Alain Trouvé
94
Voted
AISS
2010
94views more  AISS 2010»
15 years 1 months ago
Proposal for Computation Model for Computing an Inter-layer Path Based on PCE
In this paper, we propose the computation model for computing an Inter-layer path based on PCE. Comparing the performance of these various models, we wanna propose the model that ...
Wonhyuk Lee, Gisung Yoo, Gwangsub Go, Gwangho Kim,...
110
Voted
MOBIHOC
2005
ACM
16 years 3 months ago
Temporal properties of low power wireless links: modeling and implications on multi-hop routing
Recently, several studies have analyzed the statistical properties of low power wireless links in real environments, clearly demonstrating the differences between experimentally o...
Alberto Cerpa, Jennifer L. Wong, Miodrag Potkonjak...
137
Voted
IJCV
2000
164views more  IJCV 2000»
15 years 3 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann