85 search results - page 3 / 17 » Random hyperplane projection using derived dimensions |
ALT
2007
Springer
14 years 3 months ago
2007
Springer
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
KDD
2006
ACM
14 years 6 months ago
2006
ACM
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
TSP
2010
13 years 21 days ago
2010
Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x RN that are of high dimension N but are constrained to reside in a low-dimen...
KDD
2006
ACM
14 years 6 months ago
2006
ACM
There has been considerable interest in random projections, an approximate algorithm for estimating distances between pairs of points in a high-dimensional vector space. Let A Rn...
CVPR
2007
IEEE
13 years 10 months ago
2007
IEEE
In this paper, we present a method of object classification within the context of Visual Surveillance. Our goal is the classification of tracked objects into one of the two classe...