843 search results - page 146 / 169 » Learning aspect models with partially labeled data |
142
Voted
CVPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community. For example, the flexible sprites framework has been...
148
Voted
SAC
2010
ACM
14 years 10 months ago
2010
ACM
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
119
Voted
PRL
2008
15 years 3 months ago
2008
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
153
Voted
ICASSP
2009
IEEE
15 years 1 months ago
2009
IEEE
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...
206
Voted
SIAMIS
2010
14 years 10 months ago
2010
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...