831 search results - page 65 / 167 » Unsupervised Learning of Dependency Structure for Language M... |
137
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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 ...
144
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ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
In this paper, we propose an unsupervised approach to select representative face samples (models) from raw videos and build an appearance-based face recognition system. The approa...
123
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ICS
2010
Tsinghua U.
15 years 8 months ago
2010
Tsinghua U.
The emergence of multicore processors has increased the need for simple parallel programming models usable by nonexperts. The ability to specify subparts of a bigger data structur...
148
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NIPS
2004
15 years 4 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
WWW
2006
ACM
16 years 3 months ago
2006
ACM
Namespaces are a central building block of XML technologies today, they provide the identification mechanism for many XML-related vocabularies. Despite their ubiquity, there is no...