163 search results - page 27 / 33 » Incremental Mixture Learning for Clustering Discrete Data |
ICCS
2007
Springer
14 years 2 months ago
2007
Springer
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
AIME
2007
Springer
14 years 2 months ago
2007
Springer
We present a novel method for predictive modeling of human brain states from functional neuroimaging (fMRI) data. Extending the traditional canonical correlation analysis of discre...
ICML
1999
IEEE
14 years 9 months ago
1999
IEEE
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
ICRA
1999
IEEE
14 years 1 months ago
1999
IEEE
Current manufacturing methods for robotic-controlled assembly rely on accurate positioning to ensure task completion, often through the use of special xtures and precise calibrati...