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NIPS
2007
15 years 2 months ago
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
Alessandro Lazaric, Marcello Restelli, Andrea Bona...
117
Voted
CAD
2008
Springer
15 years 21 days ago
Improved Binary Space Partition merging
This paper presents a new method for evaluating boolean set operations between Binary Space Partition (BSP) trees. Our algorithm has many desirable features including both numeric...
Mikola Lysenko, Roshan D'Souza, Ching-Kuan Shene
103
Voted
ICIP
2001
IEEE
16 years 2 months ago
Compression color space estimation of JPEG images using lattice basis reduction
Given a color image that was quantized in some hidden color space (termed compression color space) during previous JPEG compression, we aim to estimate this unknown compression co...
Ramesh Neelamani, Ricardo L. de Queiroz, Richard G...
100
Voted
WILF
2007
Springer
98views Fuzzy Logic» more  WILF 2007»
15 years 6 months ago
Possibilistic Clustering in Feature Space
In this paper we propose the Possibilistic C-Means in Feature Space and the One-Cluster Possibilistic C-Means in Feature Space algorithms which are kernel methods for clustering in...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
STTT
2008
86views more  STTT 2008»
15 years 15 days ago
Properties of state spaces and their applications
Explicit model checking algorithms explore the full state space of a system. State spaces are usually treated as directed graphs without any specific features. We gather a large co...
Radek Pelánek