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ICIP
2007
IEEE
15 years 16 days ago
The Hough Transform's Implicit Bayesian Foundation
This paper shows that the basic Hough transform is implicitly a Bayesian process--that it computes an unnormalized posterior distribution over the parameters of a single shape giv...
Neil Toronto, Bryan S. Morse, Dan Ventura, Kevin D...
ICCV
2003
IEEE
15 years 23 days ago
Ranking Prior Likelihood Distributions for Bayesian Shape Localization Framework
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
Shuicheng Yan, Mingjing Li, HongJiang Zhang, QianS...
ICIP
2005
IEEE
15 years 15 days ago
Shape space sampling distributions and their impact on visual tracking
Object motions can be represented as a sequence of shape deformations and translations which can be interpretated as a sequence of points in N-dimensional shape space. These space...
Amit Kale, Christopher O. Jaynes
3DPVT
2004
IEEE
194views Visualization» more  3DPVT 2004»
14 years 2 months ago
Thickness Histogram and Statistical Harmonic Representation for 3D Model Retrieval
Similarity measuring is a key problem for 3D model retrieval. In this paper, we propose a novel shape descriptor "Thickness Histogram" (TH) by uniformly estimating thick...
Yi Liu, Jiantao Pu, Hongbin Zha, Weibin Liu, Yusuk...
BIOSYSTEMS
2007
72views more  BIOSYSTEMS 2007»
13 years 11 months ago
Parameter-free testing of the shape of a probability distribution
The Kolmogorov–Smirnov test determines the consistency of empirical data with a particular probability distribution. Often, parameters in the distribution are unknown, and have ...
M. Broom, P. Nouvellet, J. P. Bacon, D. Waxman