184 search results - page 2 / 37 » Efficiently handling feature redundancy in high-dimensional ... |
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
JMLR
2010
12 years 11 months ago
2010
This work addresses the problem of feature extraction for boosting the performance of outlier detectors in high-dimensional spaces. Recent years have observed the prominence of mu...
CIDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
Matching of high-dimensional features using nearest neighbors search is an important part of image matching methods which are based on local invariant features. In this work we hi...
SDM
2003
SIAM
13 years 6 months ago
2003
SIAM
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...