142 search results - page 14 / 29 » Clustering Large Datasets in Arbitrary Metric Spaces |
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Scarcity and infeasibility of human supervision for large
scale multi-class classification problems necessitates active
learning. Unfortunately, existing active learning methods
...
SAC
2008
ACM
13 years 6 months ago
2008
ACM
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
FOCS
2010
IEEE
13 years 5 months ago
2010
IEEE
We consider k-median clustering in finite metric spaces and k-means clustering in Euclidean spaces, in the setting where k is part of the input (not a constant). For the k-means pr...
CMIG
2011
12 years 11 months ago
2011
In this paper, a method is described to automatically estimate the visible body region of a computed tomography (CT) volume image. In order to quantify the body region, a body coo...
ICDE
2007
IEEE
14 years 1 months ago
2007
IEEE
With the rapid progress of mobile devices and positioning technologies, Trajectory Databases (TD) have been in the core of database research during the last decade. Analysis and k...