1018 search results - page 65 / 204 » Learning Probabilistic Models of Contours |
ISBI
2007
IEEE
15 years 4 months 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 ...
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FTCGV
2011
14 years 1 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...
IWCLS
2007
Springer
15 years 4 months 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...
ICASSP
2011
IEEE
14 years 1 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...
AAAI
2011
13 years 10 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...