1380 search results - page 42 / 276 » Learning Hierarchical Shape Models from Examples |
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Domains in which shapes of objects change rapidly and significantly are a challenge for existing representation techniques: sport is a good example of this. We present a texture-b...
ICCV
2009
IEEE
15 years 21 days ago
2009
IEEE
A prototype-based approach is introduced for action
recognition. The approach represents an action as a se-
quence of prototypes for efficient and flexible action match-
ing in ...
ML
1998
ACM
13 years 7 months ago
1998
ACM
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
NAACL
2003
13 years 9 months ago
2003
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
AAAI
2008
13 years 10 months ago
2008
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...