2878 search results - page 125 / 576 » Learning the Common Structure of Data |
116
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ACL
2004
15 years 5 months ago
2004
We present a generative model for the unsupervised learning of dependency structures. We also describe the multiplicative combination of this dependency model with a model of line...
141
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IJON
2011
14 years 10 months ago
2011
Restricted Boltzmann Machines (RBM) are well-studied generative models. For image data, however, standard RBMs are suboptimal, since they do not exploit the local nature of image ...
122
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AAAI
2008
15 years 6 months ago
2008
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
135
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IJBRA
2007
15 years 3 months ago
2007
: For microarray based cancer classification, feature selection is a common method for improving classifier generalisation. Most wrapper methods use cross validation methods to eva...
141
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CVPR
2011
IEEE
14 years 11 months ago
2011
IEEE
We present a robust radiometric calibration method that capitalizes on the transform invariant low-rank structure of sensor irradiances recorded from a static scene with different...