4084 search results - page 287 / 817 » The Method of Quantum Clustering |
181
click to vote
CGF
2010
15 years 6 months ago
2010
Diffusion Tensor Imaging (DTI) has made feasible the visualization of the fibrous structure of the brain white matter. In the last decades, several fiber-tracking methods have bee...
192
click to vote
ALMOB
2006
15 years 6 months ago
2006
Background: The sparse connectivity of protein-protein interaction data sets makes identification of functional modules challenging. The purpose of this study is to critically eva...
195
click to vote
TCSV
2008
15 years 6 months ago
2008
This paper presents a bottom-up approach that combines audio and video to simultaneously locate individual speakers in the video (2-D source localization) and segment their speech ...
187
Voted
ICCV
2003
IEEE
16 years 8 months ago
2003
IEEE
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
160
click to vote
PAKDD
2009
ACM
16 years 1 months ago
2009
ACM
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...