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COLT
2008
Springer
15 years 8 months ago
Finding Metric Structure in Information Theoretic Clustering
We study the problem of clustering discrete probability distributions with respect to the Kullback-Leibler (KL) divergence. This problem arises naturally in many applications. Our...
Kamalika Chaudhuri, Andrew McGregor
COGSCI
2010
103views more  COGSCI 2010»
15 years 6 months ago
A Computational Account of the Development of the Generalization of Shape Information
Abecassis, Sera, Yonas, and Schwade (2001) have shown that young children represent shapes more metrically, and perhaps more holistically, than do older children and adults. How d...
Leonidas A. A. Doumas, John E. Hummel
INFFUS
2007
88views more  INFFUS 2007»
15 years 6 months ago
A progressive query language and interactive reasoner for information fusion support
Previous approaches in query processing do not consider queries to automatically combine results obtained from different information sources, i.e. they do not support information...
Shi-Kuo Chang, Erland Jungert, Xin Li
ICML
2010
IEEE
15 years 4 months ago
Comparing Clusterings in Space
This paper proposes a new method for comparing clusterings both partitionally and geometrically. Our approach is motivated by the following observation: the vast majority of previ...
Michael H. Coen, M. Hidayath Ansari, Nathanael Fil...
HICSS
2008
IEEE
149views Biometrics» more  HICSS 2008»
16 years 21 days ago
Engaging E-Learning in Virtual Worlds: Supporting Group Collaboration
Current e-learning environments do not provide sufficient support for group collaboration. The absence of the visual identification of the users makes effective collaboration in e...
Katherine G. Franceschi, Ronald M. Lee, David Hind...