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» Segments Matching Using a Neural Network Approach
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122
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ESANN
2003
15 years 4 months ago
Neural networks organizations to learn complex robotic functions
Abstract. This paper considers the general problem of function estimation with a modular approach of neural computing. We propose to use functionally independent subnetworks to lea...
Gilles Hermann, Patrice Wira, Jean-Philippe Urban
140
Voted
FGR
2000
IEEE
161views Biometrics» more  FGR 2000»
15 years 7 months ago
Learning and Synthesizing Human Body Motion and Posture
A novel approach is presented for estimating human body posture and motion from a video sequence. Human pose is defined as the instantaneous image plane configuration of a singl...
Rómer Rosales, Stan Sclaroff
138
Voted
CVPR
2007
IEEE
16 years 4 months ago
Learning and Matching Line Aspects for Articulated Objects
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
Xiaofeng Ren
127
Voted
NN
2000
Springer
165views Neural Networks» more  NN 2000»
15 years 2 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
176
Voted
ICT
2004
Springer
194views Communications» more  ICT 2004»
15 years 8 months ago
Competitive Neural Networks for Fault Detection and Diagnosis in 3G Cellular Systems
We propose a new approach to fault detection and diagnosis in third-generation (3G) cellular networks using competitive neural algorithms. For density estimation purposes, a given ...
Guilherme De A. Barreto, João Cesar M. Mota...