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» Gesture recognition using evolution strategy neural network
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GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 2 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui
114
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AROBOTS
2000
179views more  AROBOTS 2000»
14 years 9 months ago
A Gesture Based Interface for Human-Robot Interaction
Service robotics is currently a pivotal research area in robotics, with enormous societal potential. Since service robots directly interact with people, nding natural" and ea...
Stefan Waldherr, Roseli Romero, Sebastian Thrun
NOLISP
2007
Springer
15 years 3 months ago
Word Recognition with a Hierarchical Neural Network
In this paper we propose a feedforward neural network for syllable recognition. The core of the recognition system is based on a hierarchical architecture initially developed for ...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...
ECAL
2005
Springer
15 years 3 months ago
(Co)Evolution of (De)Centralized Neural Control for a Gravitationally Driven Machine
Using decentralized control structures for robot control can offer a lot of advantages, such as less complexity, better fault tolerance and more flexibility. In this paper the ev...
Steffen Wischmann, Martin Hülse, Frank Pasema...
ICPR
2002
IEEE
15 years 10 months ago
Graph of Neural Networks for Pattern Recognition
This paper presents a new architecture of neural networks designed for pattern recognition. The concept of induction graphs coupled with a divide-and-conquer strategy defines a Gr...
Hubert Cardot, Olivier Lezoray