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» Geometric constraint satisfaction using optimization methods
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CVPR
2010
IEEE
15 years 10 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
117
Voted
CVPR
2001
IEEE
16 years 4 months ago
On Solving 2D and 3D Puzzles Using Curve Matching
We approach the problem of 2-D and 3-D puzzle solving by matching the geometric features of puzzle pieces three at a time. First, we define an affinity measure for a pair of piece...
Weixin Kong, Benjamin B. Kimia
118
Voted
COGSCI
2006
75views more  COGSCI 2006»
15 years 2 months ago
A Hierarchical Bayesian Model of Human Decision-Making on an Optimal Stopping Problem
We consider human performance on an optimal stopping problem where people are presented with a list of numbers independently chosen from a uniform distribution. People are told ho...
Michael D. Lee
138
Voted
AVSS
2007
IEEE
15 years 9 months ago
Model-based human posture estimation for gesture analysis in an opportunistic fusion smart camera network
In multi-camera networks rich visual data is provided both spatially and temporally. In this paper a method of human posture estimation is described incorporating the concept of a...
Chen Wu, Hamid K. Aghajan
104
Voted
RTAS
2007
IEEE
15 years 8 months ago
Preemption Threshold Scheduling: Stack Optimality, Enhancements and Analysis
Using preemption threshold scheduling (PTS) in a multi-threaded real-time embedded system reduces system preemptions and hence reduces run-time overhead while still ensuring real-...
Rony Ghattas, Alexander G. Dean