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GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 11 months ago
Standard and averaging reinforcement learning in XCS
This paper investigates reinforcement learning (RL) in XCS. First, it formally shows that XCS implements a method of generalized RL based on linear approximators, in which the usu...
Pier Luca Lanzi, Daniele Loiacono
ER
2005
Springer
295views Database» more  ER 2005»
14 years 1 months ago
Spatio-temporal Similarity Analysis Between Trajectories on Road Networks
Abstract. In order to analyze the behavior of moving objects, a measure for determining the similarity of trajectories needs to be defined. Although research has been conducted th...
Jung-Rae Hwang, Hye-Young Kang, Ki-Joune Li
IEEEICCI
2009
IEEE
13 years 5 months ago
Learning from an ensemble of Receptive Fields
Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...
Hanlin Goh, Joo Hwe Lim, Chai Quek
BC
2006
149views more  BC 2006»
13 years 7 months ago
Learning invariant object recognition in the visual system with continuous transformations
Abstract The cerebral cortex utilizes spatiotemporal continuity in the world to help build invariant representations. In vision, these might be representations of objects. The temp...
Simon M. Stringer, G. Perry, Edmund T. Rolls, J. H...
CVPR
2008
IEEE
14 years 9 months ago
Hierarchical, learning-based automatic liver segmentation
In this paper we present a hierarchical, learning-based approach for automatic and accurate liver segmentation from 3D CT volumes. We target CT volumes that come from largely dive...
Haibin Ling, Shaohua Kevin Zhou, Yefeng Zheng, Bog...