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» Situation Recognition: Representation and Algorithms
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JMLR
2006
104views more  JMLR 2006»
13 years 8 months ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling
GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
14 years 2 months ago
Coevolution and Linear Genetic Programming for Visual Learning
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
Krzysztof Krawiec, Bir Bhanu
EUROPAR
2007
Springer
14 years 3 months ago
A First Step Towards Automatically Building Network Representations
To fully harness Grids, users or middlewares must have some knowledge on the topology of the platform interconnection network. As such knowledge is usually not available, one must ...
Lionel Eyraud-Dubois, Arnaud Legrand, Martin Quins...
CVPR
2007
IEEE
14 years 11 months ago
Fast Terrain Classification Using Variable-Length Representation for Autonomous Navigation
We propose a method for learning using a set of feature representations which retrieve different amounts of information at different costs. The goal is to create a more efficient ...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
CVPR
2010
IEEE
14 years 5 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li