6113 search results - page 254 / 1223 » Learning Features for Tracking |
163
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
178
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SETN
2010
Springer
16 years 1 months ago
2010
Springer
In the present work we address the problem of phone duration modeling for the needs of emotional speech synthesis. Specifically, relying on ten well known machine learning techniqu...
182
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IJCAI
2007
15 years 8 months ago
2007
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
224
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
Although facial feature detection from 2D images is a well-studied field, there is a lack of real-time methods that estimate feature points even on low quality images. Here we pr...
201
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MIAR
2006
IEEE
16 years 16 days ago
2006
IEEE
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...