210 search results - page 28 / 42 » Conditional Random Fields: Probabilistic Models for Segmenti... |
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
This paper applies two dynamic Bayes networks that include theoretical and measured kinematic features of the vocal tract, respectively, to the task of labeling phoneme sequences ...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Hierarchical conditional random fields have been successfully applied to object segmentation. One reason is their ability to incorporate contextual information at different scales....
EMMCVPR
2011
Springer
12 years 7 months ago
2011
Springer
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...
BMCBI
2006
13 years 7 months ago
2006
Background: Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such...