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» Optimal transfer function neural networks
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ICML
1995
IEEE
14 years 8 months ago
Ant-Q: A Reinforcement Learning Approach to the Traveling Salesman Problem
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...
Luca Maria Gambardella, Marco Dorigo
IJCNN
2006
IEEE
14 years 1 months ago
Vergence Control of 2 DOF Pan-Tilt Binocular Cameras using a Log-Polar Representation of the Visual Cortex
- This paper presents a neurologically inspired vergence control model that uses the optimization of the disparity error between interlaced cortical maps incident on the visual cor...
Alex Xuejie Zhang, Alex Leng Phuan Tay
ICDAR
2009
IEEE
13 years 5 months ago
Towards Handwritten Mathematical Expression Recognition
In this paper, we propose a new framework for online handwritten mathematical expression recognition. The proposed architecture aims at handling mathematical expression recognitio...
Ahmad-Montaser Awal, Harold Mouchère, Chris...
ICIG
2009
IEEE
13 years 5 months ago
Statistical Modeling of Optical Flow
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
Dongmin Ma, Véronique Prinet, Cyril Cassisa
EUROCAST
2007
Springer
132views Hardware» more  EUROCAST 2007»
13 years 11 months ago
Using Omnidirectional BTS and Different Evolutionary Approaches to Solve the RND Problem
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...