1018 search results - page 65 / 204 » Learning Probabilistic Models of Contours |
208
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ISBI
2007
IEEE
16 years 26 days ago
2007
IEEE
This paper presents a new framework for shape modeling and analysis. A shape instance is described by a curvature-based shape descriptor. A Profile Hidden Markov Model (PHMM) is ...
207
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FTCGV
2011
14 years 10 months ago
2011
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
143
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IWCLS
2007
Springer
16 years 22 days ago
2007
Springer
In this paper we explicitly identify the probabilistic model underlying LCS by linking it to a generalisation of the common Mixture-of-Experts model. Having an explicit representa...
158
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
We propose a new approach for automatic melody extraction from polyphonic audio, based on Probabilistic Latent Component Analysis (PLCA). An audio signal is first divided into vo...
199
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AAAI
2011
14 years 6 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...