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» A Framework for Multiple-Instance Learning
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ICCS
2005
Springer
16 years 15 days ago
Towards a Bayesian Approach to Robust Finding Correspondences in Multiple View Geometry Environments
Abstract. This paper presents a new Bayesian approach to the problem of finding correspondences of moving objects in a multiple calibrated camera environment. Moving objects are d...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
MDM
2005
Springer
16 years 14 days ago
Dynamically-optimized context in recommender systems
Traditional approaches to recommender systems have not taken into account situational information when making recommendations, and this seriously limits the relevance of the resul...
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
WEBI
2005
Springer
16 years 13 days ago
A Novel Way of Computing Similarities between Nodes of a Graph, with Application to Collaborative Recommendation
This work presents a new perspective on characterizing the similarity between elements of a database or, more generally, nodes of a weighted, undirected, graph. It is based on a M...
François Fouss, Alain Pirotte, Marco Saeren...
ATAL
2004
Springer
16 years 11 days ago
Unifying Temporal and Structural Credit Assignment Problems
Single-agent reinforcement learners in time-extended domains and multi-agent systems share a common dilemma known as the credit assignment problem. Multi-agent systems have the st...
Adrian K. Agogino, Kagan Tumer
DSMML
2004
Springer
16 years 11 days ago
Multi Channel Sequence Processing
Abstract. This paper summarizes some of the current research challenges arising from multi-channel sequence processing. Indeed, multiple real life applications involve simultaneous...
Samy Bengio, Hervé Bourlard