496 search results - page 65 / 100 » Semi-Supervised Learning of Mixture Models |
105
click to vote
GI
2007
Springer
15 years 6 months ago
2007
Springer
: Detection is an inherent part of every advanced automatic tracking system. In this work we focus on automatic detection of humans by enhanced background subtraction. Background s...
250
click to vote
ICML
2010
IEEE
15 years 26 days ago
2010
IEEE
The hierarchical Dirichlet process (HDP) is a Bayesian nonparametric mixed membership model--each data point is modeled with a collection of components of different proportions. T...
NIPS
2008
15 years 1 months ago
2008
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...
FGR
2008
IEEE
15 years 6 months ago
2008
IEEE
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
ICML
2004
IEEE
16 years 18 days ago
2004
IEEE
We describe a class of causal, discrete latent variable models called Multiple Multiplicative Factor models (MMFs). A data vector is represented in the latent space as a vector of...