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QEST
2008
IEEE
14 years 2 months ago
Symbolic Magnifying Lens Abstraction in Markov Decision Processes
Magnifying Lens Abstraction in Markov Decision Processes ∗ Pritam Roy1 David Parker2 Gethin Norman2 Luca de Alfaro1 Computer Engineering Dept, UC Santa Cruz, Santa Cruz, CA, USA ...
Pritam Roy, David Parker, Gethin Norman, Luca de A...
WSCG
2003
149views more  WSCG 2003»
13 years 9 months ago
Boolean Operations on Feature-based Models
Boolean operations and feature-based modeling are closely linked domains. For example, several, sometimes many Boolean operations are involved during a feature instantiation or mo...
Yvon Gardan, Christian Minich, Estelle Perrin
IROS
2009
IEEE
188views Robotics» more  IROS 2009»
14 years 2 months ago
Novelty detection and 3D shape retrieval based on Gaussian Mixture Models for autonomous surveillance robotics
Abstract— This paper describes an efficient method for retrieving the 3-dimensional shape associated to novelties in the environment of an autonomous robot, which is equipped wi...
Pedro Núñez Trujillo, Paulo Drews, R...
JALC
2006
95views more  JALC 2006»
13 years 7 months ago
On the Decidability of Model-Checking for P Systems
Membrane computing is a branch of molecular computing that aims to develop models and paradigms that are biologically motivated. It identifies an unconventional computing model, n...
Zhe Dang, Oscar H. Ibarra, Cheng Li, Gaoyan Xie
ICASSP
2011
IEEE
12 years 11 months ago
Accurate non-iterative depth layer extraction algorithm for image based rendering
Image based rendering is an attractive alternative for generating novel views compared to model based rendering due to its lower complexity and potential for photo-realistic resul...
James Pearson, Pier Luigi Dragotti, Mike Brookes