50 search results - page 8 / 10 » TRUST-TECH-Based Expectation Maximization for Learning Finit... |
JAIR
2006
13 years 6 months ago
2006
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
TCSV
2008
13 years 6 months ago
2008
This paper presents a graphical model for learning and recognizing human actions. Specifically, we propose to encode actions in a weighted directed graph, referred to as action gra...
ICPR
2004
IEEE
14 years 7 months ago
2004
IEEE
In this paper we use a variational Bayesian framework for color image segmentation. Each image is represented in the L*u*v color coordinate system before being segmented by the va...
MLDM
2005
Springer
13 years 11 months ago
2005
Springer
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
ICC
2007
IEEE
14 years 11 days ago
2007
IEEE
— The capacity of multiple input multiple output (MIMO) system over wireless channels has been investigated analytically and by simulation over different types of wireless fading...