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» Non-parametric Jensen-Shannon Divergence
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ICPR
2008
IEEE
13 years 11 months ago
Feature selection for clustering with constraints using Jensen-Shannon divergence
In semi-supervised clustering, domain knowledge can be converted to constraints and used to guide the clustering. In this paper we propose a feature selection algorithm for semi-s...
Yuanhong Li, Ming Dong, Yunqian Ma
ECML
2005
Springer
13 years 10 months ago
Active Learning for Probability Estimation Using Jensen-Shannon Divergence
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
Prem Melville, Stewart M. Yang, Maytal Saar-Tsecha...
CVPR
2006
IEEE
14 years 6 months ago
Groupwise point pattern registration using a novel CDF-based Jensen-Shannon Divergence
In this paper, we propose a novel and robust algorithm for the groupwise non-rigid registration of multiple unlabeled point-sets with no bias toward any of the given pointsets. To...
Fei Wang, Baba C. Vemuri, Anand Rangarajan
ECIR
2007
Springer
13 years 6 months ago
Query Hardness Estimation Using Jensen-Shannon Divergence Among Multiple Scoring Functions
We consider the issue of query performance, and we propose a novel method for automatically predicting the difficulty of a query. Unlike a number of existing techniques which are b...
Javed A. Aslam, Virgiliu Pavlu
JMIV
2000
83views more  JMIV 2000»
13 years 4 months ago
An Analysis of Edge Detection by Using the Jensen-Shannon Divergence
Juan Francisco Gómez-Lopera, José Ma...