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» A Novel Framework for Imaging Using Compressed Sensing
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CVPR
2009
IEEE
16 years 4 months ago
Increased Discrimination in Level Set Methods with Embedded Conditional Random Fields
We propose a novel approach for improving level set seg- mentation methods by embedding the potential functions from a discriminatively trained conditional random field (CRF) in...
Dana Cobzas (University of Alberta), Mark Schmidt ...
CSDA
2006
85views more  CSDA 2006»
14 years 9 months ago
Fast and compact smoothing on large multidimensional grids
A framework of penalized generalized linear models and tensor products of B-splines with roughness penalties allows effective smoothing of data in multidimensional arrays. A strai...
Paul H. C. Eilers, Iain D. Currie, María Du...
COGSCI
2002
99views more  COGSCI 2002»
14 years 9 months ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland
RAS
2010
115views more  RAS 2010»
14 years 8 months ago
Learning grasping points with shape context
This paper presents work on vision based robotic grasping. The proposed method adopts a learning framework where prototypical grasping points are learnt from several examples and ...
Jeannette Bohg, Danica Kragic
ICIAR
2004
Springer
15 years 3 months ago
Real Time Multiple Object Tracking Based on Active Contours
Abstract. In this paper our purpose is to present some solutions to multiple object tracking in an image sequence with a real time constraint and a possible mobile camera. We propo...
Sébastien Lefèvre, Nicole Vincent