1575 search results - page 109 / 315 » Unsupervised Learning of Models for Recognition |
110
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SARA
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. We present The Cruncher, a simple representation framework and algorithm based on minimum description length for automatically forming an ontology of concepts from attrib...
137
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Current hidden Markov acoustic modeling for large vocabulary continuous speech recognition (LVCSR) relies on the availability of abundant labeled transcriptions. Given that speech...
140
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CVPR
2003
IEEE
16 years 5 months ago
2003
IEEE
This paper addresses the problem of capturing the dynamics for exemplar-based recognition systems. Traditional HMM provides a probabilistic tool to capture system dynamics and in ...
114
Voted
HUC
2003
Springer
15 years 8 months ago
2003
Springer
Abstract. We present a method of learning a Bayesian model of a traveler moving through an urban environment. This technique is novel in that it simultaneously learns a unified mo...
131
Voted
JMLR
2006
15 years 3 months ago
2006
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...