1380 search results - page 123 / 276 » Learning Hierarchical Shape Models from Examples |
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
130
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FGR
2004
IEEE
15 years 6 months ago
2004
IEEE
Due to variations of lighting conditions, camera hardware settings, and the range of skin coloration among human beings, a pre-defined skin-color model cannot accurately capture t...
130
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DAGSTUHL
2007
15 years 3 months ago
2007
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
114
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ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
The problem of acoustic-to-articulatory speech inversion continues to be a challenging research problem which significantly impacts automatic speech recognition robustness and ac...
143
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SSPR
2010
Springer
15 years 24 days ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...