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» Estimation of Chaotic Probabilities
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CSDA
2004
124views more  CSDA 2004»
13 years 10 months ago
Fast and robust discriminant analysis
The goal of discriminant analysis is to obtain rules that describe the separation between groups of observations. Moreover it allows to classify new observations into one of the k...
Mia Hubert, Katrien van Driessen
MICCAI
2009
Springer
14 years 11 months ago
Shape Modelling for Tract Selection
Abstract. Probabilistic tractography provides estimates of the probability of a structural connection between points or regions in a brain volume, based on information from diffusi...
Jonathan D. Clayden, Martin D. King, Chris A. Cl...
ICCD
2001
IEEE
119views Hardware» more  ICCD 2001»
14 years 7 months ago
A Functional Validation Technique: Biased-Random Simulation Guided by Observability-Based Coverage
We present a simulation-based semi-formal verification method for sequential circuits described at the registertransfer level. The method consists of an iterative loop where cove...
Serdar Tasiran, Farzan Fallah, David G. Chinnery, ...
MMM
2007
Springer
110views Multimedia» more  MMM 2007»
14 years 4 months ago
An Object Tracking Scheme Based on Local Density
We propose a method for tracking an object from a video sequence of moving background through the use of the proximate distribution densities of the local regions. The discriminati...
Zhuan Qing Huang, Zhuhan Jiang
CIMAGING
2008
104views Hardware» more  CIMAGING 2008»
13 years 11 months ago
MCMC curve sampling and geometric conditional simulation
We present an algorithm to generate samples from probability distributions on the space of curves. Traditional curve evolution methods use gradient descent to find a local minimum...
Ayres C. Fan, John W. Fisher III, Jonathan Kane, A...