783 search results - page 22 / 157 » Modeling High-Dimensional Index Structures using Sampling |
110
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NIPS
2007
15 years 2 months ago
2007
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
106
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
115
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AAAI
2007
15 years 3 months ago
2007
Recently the problem of dimensionality reduction has received a lot of interests in many fields of information processing. We consider the case where data is sampled from a low d...
111
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CVPR
2008
IEEE
16 years 3 months ago
2008
IEEE
Given a finite number of data points sampled from a low-dimensional manifold embedded in a high dimensional space together with the parameter vectors for a subset of the data poin...
141
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ICCS
2009
Springer
14 years 11 months ago
2009
Springer
Protein loop structure modeling is regarded as a mini protein folding problem with significant scientific importance. Efficiently sampling the loop conformation space is a key step...