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» System modeling with mixed object and data models
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139
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CVPR
2001
IEEE
16 years 6 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
142
Voted
ICFCA
2010
Springer
15 years 11 months ago
Describing Role Models in Terms of Formal Concept Analysis
Abstract. In the past years Software Engineering has experienced several difficulties in modularising crosscutting aspects, like shared, dynamic or scattered behavior of object-ori...
Henri Mühle, Christian Wende
IJCAI
2007
15 years 6 months ago
Incremental Construction of Structured Hidden Markov Models
This paper presents an algorithm for inferring a Structured Hidden Markov Model (S-HMM) from a set of sequences. The S-HMMs are a sub-class of the Hierarchical Hidden Markov Model...
Ugo Galassi, Attilio Giordana, Lorenza Saitta
DEXA
2004
Springer
136views Database» more  DEXA 2004»
15 years 10 months ago
A Framework for Representing Moving Objects
We present a framework for representing the trajectories of moving objects and the time-varying results of operations on moving objects. This framework supports the realization of ...
Ludger Becker, Henrik Blunck, Klaus Hinrichs, Jan ...
150
Voted
LRE
2006
173views more  LRE 2006»
15 years 4 months ago
Automatic induction of language model data for a spoken dialogue system
When building a new spoken dialogue application, large amounts of domain specific data are required. This paper addresses the issue of generating in-domain training data when litt...
Chao Wang, Grace Chung, Stephanie Seneff