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NN
2000
Springer
159views Neural Networks» more  NN 2000»
15 years 1 months ago
Independent component analysis for noisy data -- MEG data analysis
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
Shiro Ikeda, Keisuke Toyama
ICANN
2011
Springer
14 years 5 months ago
Semi-supervised Learning for WLAN Positioning
Currently the most accurate WLAN positioning systems are based on the fingerprinting approach, where a “radio map” is constructed by modeling how the signal strength measureme...
Teemu Pulkkinen, Teemu Roos, Petri Myllymäki
ARC
2009
Springer
140views Hardware» more  ARC 2009»
15 years 8 months ago
FPGA-Based Anomalous Trajectory Detection Using SOFM
A system for automatically classifying the trajectory of a moving object in a scene as usual or suspicious is presented. The system uses an unsupervised neural network (Self Organi...
Kofi Appiah, Andrew Hunter, Tino Kluge, Philip Aik...
ICRA
2008
IEEE
114views Robotics» more  ICRA 2008»
15 years 8 months ago
Object dynamics prediction and motion generation based on reliable predictability
— Consistency of object dynamics, which is related to reliable predictability, is an important factor for generating object manipulation motions. This paper proposes a technique ...
Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun...
IJCNN
2007
IEEE
15 years 8 months ago
The Metro Visualisation of Component Planes for Self-Organising Maps
— The Self-Organising Map is a popular unsupervised neural network model which has successfully been used for clustering various kinds of data. To help in understanding the infl...
Robert Neumayer, Rudolf Mayer, Georg Pölzlbau...