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» Non-parametric Jensen-Shannon Divergence
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ICPR
2008
IEEE
15 years 4 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
15 years 3 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
16 years 1 hour 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
14 years 11 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»
14 years 9 months ago
An Analysis of Edge Detection by Using the Jensen-Shannon Divergence
Juan Francisco Gómez-Lopera, José Ma...