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CVPR
2008
IEEE
16 years 9 months ago
The scale of a texture and its application to segmentation
This paper examines the issue of scale in modeling texture for the purpose of segmentation. We propose a scale descriptor for texture and an energy minimization model to find the ...
Byung-Woo Hong, Kangyu Ni, Stefano Soatto, Tony F....
ECCV
2008
Springer
16 years 9 months ago
Learning for Optical Flow Using Stochastic Optimization
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
Yunpeng Li, Daniel P. Huttenlocher
ICIP
2008
IEEE
16 years 9 months ago
Graph cut segmentation of neuronal structures from transmission electron micrographs
In many neurophysiological studies, understanding the neuronal circuitry of the brain requires detailed 3D models of the nerve cells and their synapses. Typically, researchers bui...
Nhat Vu, B. S. Manjunath
EUROGP
2009
Springer
149views Optimization» more  EUROGP 2009»
16 years 1 months ago
Adaptation, Performance and Vapnik-Chervonenkis Dimension of Straight Line Programs
Abstract. We discuss here empirical comparation between model selection methods based on Linear Genetic Programming. Two statistical methods are compared: model selection based on ...
José Luis Montaña, César Luis...
PG
2003
IEEE
16 years 15 days ago
Hierarchical Least Squares Conformal Map
A texture atlas is an efficient way to represent information (like colors, normals, displacement maps ...) on triangulated surfaces. The LSCM method (Least Squares Conformal Maps...
Nicolas Ray, Bruno Lévy