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» On Finding Large Conjunctive Clusters
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VLDB
2007
ACM
93views Database» more  VLDB 2007»
14 years 1 months ago
Seeking Stable Clusters in the Blogosphere
The popularity of blogs has been increasing dramatically over the last couple of years. As topics evolve in the blogosphere, keywords align together and form the heart of various ...
Nilesh Bansal, Fei Chiang, Nick Koudas, Frank Wm. ...
WWW
2005
ACM
14 years 8 months ago
Debugging OWL ontologies
As an increasingly large number of OWL ontologies become available on the Semantic Web and the descriptions in the ontologies become more complicated, finding the cause of errors ...
Bijan Parsia, Evren Sirin, Aditya Kalyanpur
ICML
2010
IEEE
13 years 8 months ago
Power Iteration Clustering
We present a simple and scalable graph clustering method called power iteration clustering (PIC). PIC finds a very low-dimensional embedding of a dataset using truncated power ite...
Frank Lin, William W. Cohen
ICMCS
1999
IEEE
135views Multimedia» more  ICMCS 1999»
13 years 12 months ago
Time-Constrained Keyframe Selection Technique
In accessing large collections of digitized videos, it is often difficult to find both the appropriate video file and the portion of the video that is of interest. This paper descr...
Andreas Girgensohn, John S. Boreczky
PAMI
2006
134views more  PAMI 2006»
13 years 7 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee