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ECML
2007
Springer
16 years 25 days ago
Learning Metrics Between Tree Structured Data: Application to Image Recognition
The problem of learning metrics between structured data (strings, trees or graphs) has been the subject of various recent papers. With regard to the specific case of trees, some a...
Laurent Boyer 0002, Amaury Habrard, Marc Sebban
ATAL
2006
Springer
15 years 10 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
ICCV
2011
IEEE
14 years 6 months ago
Gradient-based learning of higher-order image features
Recent work on unsupervised feature learning has shown that learning on polynomial expansions of input patches, such as on pair-wise products of pixel intensities, can improve the...
Roland Memisevic
IDMS
2000
Springer
128views Multimedia» more  IDMS 2000»
15 years 10 months ago
Fast and Optimal Multicast-Server Selection Based on Receivers' Preference
Abstract. In this paper, we propose static and dynamic server selection techniques for multicast receivers who receive multiple streams from replicated servers. In the proposed sta...
Akihito Hiromori, Hirozumi Yamaguchi, Keiichi Yasu...
HIPC
2009
Springer
15 years 4 months ago
Integrating and optimizing transactional memory in a data mining middleware
As the size of available datasets in various domains is growing rapidly, there is an increasing need for scaling data mining implementations. Coupled with the current trends in co...
Vignesh T. Ravi, Gagan Agrawal