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» Object shape and reflectance modeling from observation
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107
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RC
2002
72views more  RC 2002»
15 years 7 days ago
Symbolic Preconditioning with Taylor Models: Some Examples
Deterministic global optimization with interval analysis involves - using interval enclosures for ranges of the constraints, objective, and gradient to reject infeasible regions, r...
R. Baker Kearfott, G. William Walster
126
Voted
ECCV
1994
Springer
15 years 4 months ago
Markov Random Field Models in Computer Vision
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
Stan Z. Li
NIPS
2000
15 years 1 months ago
Modelling Spatial Recall, Mental Imagery and Neglect
We present a computational model of the neural mechanisms in the parietal and temporal lobes that support spatial navigation, recall of scenes and imagery of the products of recal...
Suzanna Becker, Neil Burgess
71
Voted
HICSS
2002
IEEE
95views Biometrics» more  HICSS 2002»
15 years 5 months ago
Simulation Spectrum and Stability Models
In this paper, we define a continuum of modeling styles, ranging from collections of very simple agents on one end to collections of very complex agents at the other end, and a s...
Christopher Landauer
ICCV
2007
IEEE
15 years 2 months ago
Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering
Even though sensor fusion techniques based on particle filters have been applied to object tracking, their implementations have been limited to combining measurements from multip...
Bohyung Han, Seong-Wook Joo, Larry S. Davis