Sciweavers

5659 search results - page 15 / 1132
» Comparing Clusterings in Space
Sort
View
ICCV
2003
IEEE
14 years 10 months ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
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...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer
CVPR
2009
IEEE
15 years 3 months ago
Learning Trajectory Patterns by Clustering: Experimental Studies and Comparative Evaluation
Recently a large amount of research has been devoted to automatic activity analysis. Typically, activities have been defined by their motion characteristics and represented by t...
Brendan Morris, Mohan M. Trivedi
IIS
2003
13 years 10 months ago
Ontology-based Text Document Clustering
Text clustering typically involves clustering in a high dimensional space, which appears difficult with regard to virtually all practical settings. In addition, given a particular...
Steffen Staab, Andreas Hotho
ASE
2004
167views more  ASE 2004»
13 years 8 months ago
Cluster-Based Partial-Order Reduction
The verification of concurrent systems through an exhaustive traversal of the state space suffers from the infamous state-space-explosion problem, caused by the many interleavings ...
Twan Basten, Dragan Bosnacki, Marc Geilen
WABI
2001
Springer
138views Bioinformatics» more  WABI 2001»
14 years 1 months ago
Algorithms for Finding Gene Clusters
Abstract. Comparing gene orders in completely sequenced genomes is a standard approach to locate clusters of functionally associated genes. Often, gene orders are modeled as permut...
Steffen Heber, Jens Stoye