274 search results - page 46 / 55 » Activity Recognition from Sparsely Labeled Data Using Multi-... |
AND
2009
13 years 5 months ago
2009
In this paper we propose a new approach to capture the inclination towards a certain election candidate from the contents of blogs and to explain why that inclination may be so. T...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
AAAI
2004
13 years 8 months ago
2004
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
SDM
2008
SIAM
13 years 8 months ago
2008
SIAM
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...