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» Facial Memory Is Kernel Density Estimation (Almost)
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FGR
2008
IEEE
322views Biometrics» more  FGR 2008»
13 years 10 months ago
Statistical appearance models for automatic pose invariant face recognition
Recent pose invariant methods try to model the subject specific appearance change across pose. For this, however, almost all of the existing methods require a perfect alignment b...
M. Saquib Sarfraz, Olaf Hellwich
PG
2000
IEEE
13 years 8 months ago
A New Adaptive Density Estimator for Particle-Tracing Radiosity
Inparticle-tracing radiosityalgorithms, energy-carrying particles are traced through an environmentfor simulating global illumination. Illumination on a surface is reconstructed f...
Wong Kam Wah
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
11 years 6 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
PAMI
2007
253views more  PAMI 2007»
13 years 3 months ago
Gaussian Mean-Shift Is an EM Algorithm
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...
Miguel Á. Carreira-Perpiñán
JSC
2006
102views more  JSC 2006»
13 years 4 months ago
Counting and locating the solutions of polynomial systems of maximum likelihood equations, I
In statistics, mixture models consisting of several component subpopulations are used widely to model data drawn from heterogeneous sources. In this paper, we consider maximum lik...
Max-Louis G. Buot, Donald St. P. Richards