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CIKM
2009
Springer
15 years 11 months ago
Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection
High findability of documents within a certain cut-off rank is considered an important factor in recall-oriented application domains such as patent or legal document retrieval. ...
Shariq Bashir, Andreas Rauber
ICML
2005
IEEE
16 years 5 months ago
Reinforcement learning with Gaussian processes
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
Yaakov Engel, Shie Mannor, Ron Meir
ICIP
2008
IEEE
16 years 6 months ago
A scalable complexity specification for video applications
We propose a new complexity modeling framework for multimedia tasks. We characterize the traffic with five parameters that together we designate as a task's complexity specif...
Nicholas Mastronarde, Mihaela van der Schaar
CVPR
2007
IEEE
15 years 11 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
CVPR
1998
IEEE
16 years 6 months ago
Incorporating Illumination Constraints in Deformable Models
In this paper we present a method for the integration of nonlinear holonomic constraints in deformable models and its application to the problems of shape and illuminant direction...
Dimitris Samaras, Dimitris N. Metaxas