1403 search results - page 123 / 281 » Set cover algorithms for very large datasets |
156
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CIVR
2006
Springer
15 years 8 months ago
2006
Springer
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
143
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EUROCOLT
1999
Springer
15 years 8 months ago
1999
Springer
Many settings of unsupervised learning can be viewed as quantization problems — the minimization of the expected quantization error subject to some restrictions. This allows the ...
161
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BMCBI
2004
15 years 4 months ago
2004
Background: In population-based studies, it is generally recognized that single nucleotide polymorphism (SNP) markers are not independent. Rather, they are carried by haplotypes, ...
235
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GIS
2007
ACM
16 years 5 months ago
2007
ACM
We propose a general framework to index very large datasets of spatial data in a distributed system. Our proposal is built on the recently proposed Scalable Distributed Rtree (SD-...
246
Voted
CVPR
2010
IEEE
16 years 1 months ago
2010
IEEE
We address the problem of image search on a very large scale, where three constraints have to be considered jointly: the accuracy of the search, its efficiency, and the memory usag...