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» Learning Models for Object Recognition
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EWCBR
2004
Springer
14 years 2 months ago
Case-Based Object Recognition
Model-based object recognition is a well-known task in Computer Vision. Usually, one object that can be generalized by a model should be detected in an image based on this model. B...
Petra Perner, Angela Bühring
IROS
2009
IEEE
201views Robotics» more  IROS 2009»
14 years 3 months ago
Modeling tool-body assimilation using second-order Recurrent Neural Network
— Tool-body assimilation is one of the intelligent human abilities. Through trial and experience, humans are capable of using tools as if they are part of their own bodies. This ...
Shun Nishide, Tatsuhiro Nakagawa, Tetsuya Ogata, J...
BC
2007
98views more  BC 2007»
13 years 9 months ago
Extending the mirror neuron system model, I
The paper introduces mirror neuron system II (MNS2), a new version of the MNS model (Oztop and Arbib in Biol Cybern 87(2):116–140, 2002) of action recognition learning by mirror ...
James Bonaiuto, Edina Rosta, Michael A. Arbib
JOT
2010
124views more  JOT 2010»
13 years 7 months ago
Improving Learning Object Reuse Through OOD: A Theory of Learning Objects
The concept of a learning object (LO) has spread quickly without a very specific universal definition, and though born originally from the idea of object oriented design, with a ...
Claudine A. Allen, Ezra K. Mugisa
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