5092 search results - page 19 / 1019 » Clustering the Feature Space |
ICCV
2003
IEEE
14 years 9 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...
BMVC
2010
13 years 5 months ago
2010
This paper presents a learning-based method for combining the shape and appearance feature types for 3D human pose estimation from single-view images. Our method is based on clust...
ADBIS
2007
Springer
2007
Springer
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
14 years 1 months ago
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
CIS
2005
Springer
14 years 1 months ago
2005
Springer
Different from familiar clustering objects, text documents have sparse data spaces. A common way of representing a document is as a bag of its component words, but the semantic re...
EUSFLAT
2003
13 years 9 months ago
2003
This study extends the web classification approach through a proximity-based fuzzy clustering sensible to the influence of the page. The proximity-based fuzzy clustering works in ...