1329 search results - page 46 / 266 » Randomly Sampling Molecules |
ICML
2004
IEEE
14 years 11 months ago
2004
IEEE
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
SIGGRAPH
1996
ACM
14 years 2 months ago
1996
ACM
Antialiased pixel values are often computed as the mean of N point samples. Using uniformly distributed random samples, the central limit theorem predicts a variance of the mean o...
COMCOM
2010
13 years 10 months ago
2010
A new method of estimating some statistical characteristics of TCP flows in the Internet is developed in this paper. For this purpose, a new set of random variables (referred to as...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
This paper explores a novel setting for compressed sensing (CS) in which the sampling trajectory length is a critical bottleneck and must be minimized subject to constraints on th...
CVPR
2004
IEEE
15 years 2 days ago
2004
IEEE
Invariant features or operators are often used to shield the recognition process from the effect of "nuisance" parameters, such as rotations, foreshortening, or illumina...