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ICIAP
2005
ACM
14 years 7 months ago
Improving SIFT-Based Object Recognition for Robot Applications
In this article we proposed an improved SIFT-based object recognition methodology for robot applications. This methodology is employed for implementing a robot-head detection syste...
Patricio Loncomilla, Javier Ruiz-del-Solar
IROS
2008
IEEE
146views Robotics» more  IROS 2008»
14 years 2 months ago
Optimal distributed planning for self assembly of modular manipulators
— We describe algorithms to build self-assembling robot systems composed of active modular robots and passive bars. The distributed algorithms are based on locally optimal matchi...
Seung-kook Yun, Daniela Rus
GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
14 years 24 days 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
MVA
2007
114views Computer Vision» more  MVA 2007»
13 years 9 months ago
Sign Language Recognition Using Boosted Volumetric Features
This paper proposes a method for sign language recognition that bypasses the need for tracking by classifying the motion directly. The method uses the natural extension of haar li...
Helen Cooper, Richard Bowden
AMC
2005
206views more  AMC 2005»
13 years 7 months ago
Logistics networks: A game theory application for solving the transshipment problem
As competition from emerging economies such as China and India puts pressure on global supply chains and as new constraints emerge, it presents opportunities for approaches such a...
Pedro M. Reyes