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» Learning to learn with the informative vector machine
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ADC
2010
Springer
214views Database» more  ADC 2010»
14 years 11 months ago
Building a dynamic classifier for large text data collections
Due to the lack of in-built tools to navigate the web, people have to use external solutions to find information. The most popular of these are search engines and web directories....
Pavel Kalinov, Bela Stantic, Abdul Sattar
UAI
2003
15 years 5 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
CCECE
2006
IEEE
15 years 10 months ago
A Dynamic Associative E-Learning Model based on a Spreading Activation Network
Presenting information to an e-learning environment is a challenge, mostly, because ofthe hypertextlhypermedia nature and the richness ofthe context and information provides. This...
Phongchai Nilas, Nilamit Nilas, Somsak Mitatha
MM
2003
ACM
84views Multimedia» more  MM 2003»
15 years 9 months ago
Temporal event clustering for digital photo collections
We present similarity-based methods to cluster digital photos by time and image content. The approach is general, unsupervised, and makes minimal assumptions regarding the structu...
Matthew L. Cooper, Jonathan Foote, Andreas Girgens...
CORIA
2010
15 years 5 months ago
Impact de l'information visuelle pour la Recherche d'Images par le contenu et le contexte
Multimedia documents are increasingly used which involve to develop model to that kind of data. In this paper we present a multimedia model which combines textual and visual inform...
Christophe Moulin, Christine Largeron, Mathias G&e...