241 search results - page 38 / 49 » Learning Classes of Probabilistic Automata |
TIP
2008
13 years 7 months ago
2008
Significant appearance changes of objects under different orientations could cause loss of tracking, "drifting." In this paper, we present a collaborative tracking framew...
WWW
2008
ACM
14 years 8 months ago
2008
ACM
Inferring an appropriate DTD or XML Schema Definition (XSD) for a given collection of XML documents essentially reduces to learning deterministic regular expressions from sets of ...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...
FASE
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...
SDM
2010
SIAM
13 years 8 months ago
2010
SIAM
A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...