843 search results - page 100 / 169 » Learning aspect models with partially labeled data |
143
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
143
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SMC
2010
IEEE
15 years 1 months ago
2010
IEEE
In this study, the task of obtaining accurate and comprehensible concept descriptions of a specific set of production instances has been investigated. The suggested method, inspire...
197
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TIP
2010
14 years 10 months ago
2010
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
135
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ML
2008
ACM
15 years 4 months ago
2008
ACM
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
142
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ICCPOL
2009
Springer
15 years 1 months ago
2009
Springer
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...