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IJON
1998
158views more  IJON 1998»
15 years 2 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
EUROGP
2009
Springer
132views Optimization» more  EUROGP 2009»
15 years 9 months ago
A Statistical Learning Perspective of Genetic Programming
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...
Nur Merve Amil, Nicolas Bredeche, Christian Gagn&e...
3DPVT
2006
IEEE
170views Visualization» more  3DPVT 2006»
15 years 8 months ago
Minimum Spanning Tree Pose Estimation
The extrinsic camera parameters from video stream images can be accurately estimated by tracking features through the image sequence and using these features to compute parameter ...
Kevin L. Steele, Parris K. Egbert
145
Voted
CVPR
2012
IEEE
13 years 4 months ago
A closed-form solution to uncalibrated photometric stereo via diffuse maxima
In this paper we propose a novel solution to uncalibrated photometric stereo. Our approach is to eliminate the socalled generalized bas relief (GBR) ambiguity by exploiting points...
Paolo Favaro, Thoma Papadhimitri
CRV
2011
IEEE
305views Robotics» more  CRV 2011»
14 years 2 months ago
Motion Segmentation by Learning Homography Matrices from Motor Signals
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
Changhai Xu, Jingen Liu, Benjamin Kuipers