2914 search results - page 316 / 583 » Learning and Inference with Constraints |
163
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
The recent upsurge of research toward compressive sampling and parsimonious signal representations hinges on signals being sparse, either naturally, or, after projecting them on a...
165
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AAAI
2011
14 years 6 months ago
2011
We address the problem of transferring information learned from experiments to a different environment, in which only passive observations can be collected. We introduce a formal ...
210
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
177
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KDD
2006
ACM
16 years 7 months ago
2006
ACM
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
169
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...