5153 search results - page 597 / 1031 » Introduction to Randomized Algorithms |
174
Voted
ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
124
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ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
Sub-Nyquist systems capture the signal information in a different fashion than uniform high-rate samples. Consequently, digital processing, which is the prime reason for leaving t...
144
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ACTAC
2007
15 years 6 months ago
2007
An o-line scheduling algorithm considers resource, precedence, and synchronisation requirements of a task graph, and generates a schedule guaranteeing its timing requirements. Th...
141
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CORR
2008
Springer
15 years 6 months ago
2008
Springer
Abstract. We define a novel, basic, unsupervised learning problem learning the the lowest density homogeneous hyperplane separator of an unknown probability distribution. This task...
153
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DKE
2008
15 years 6 months ago
2008
Space constrained optimization problems arise in a variety of applications, ranging from databases to ubiquitous computing. Typically, these problems involve selecting a set of it...