1454 search results - page 166 / 291 » On High Dimensional Skylines |
172
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...
179
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ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
The problem of minimizing the rank of a matrix subject to linear equality constraints arises in applications in machine learning, dimensionality reduction, and control theory, and...
198
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IJHR
2008
15 years 6 months ago
2008
Motion planning for humanoids faces several challenging issues: high dimensionality of the configuration space, necessity to address balance constraints in single and double suppo...
172
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JMLR
2008
15 years 6 months ago
2008
Closed sets have been proven successful in the context of compacted data representation for association rule learning. However, their use is mainly descriptive, dealing only with ...
147
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CSDA
2007
15 years 6 months ago
2007
In this paper we study the problem of bivariate density estimation. The aim is to find a density function with the smallest number of local extreme values which is adequate with ...