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JMLR
2012
12 years 7 days ago
Constrained 1-Spectral Clustering
An important form of prior information in clustering comes in form of cannot-link and must-link constraints. We present a generalization of the popular spectral clustering techniq...
Syama Sundar Rangapuram, Matthias Hein
ICML
2001
IEEE
14 years 10 months ago
Constrained K-means Clustering with Background Knowledge
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan ...
ICTIR
2009
Springer
14 years 4 months ago
Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links
Abstract. In this paper we present a new clustering algorithm which ex
M. Eduardo Ares, Javier Parapar, Alvaro Barreiro
CIA
2007
Springer
14 years 4 months ago
Managing Sensors and Information Sources Using Semantic Matchmaking and Argumentation
Abstract. Effective deployment and utilisation of limited and constrained intelligence resources — including sensors and other sources — is seen as a key issue in modern multin...
Alun D. Preece
ICMCS
1999
IEEE
135views Multimedia» more  ICMCS 1999»
14 years 2 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