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» A 3D shape classifier with neural network supervision
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ICANN
2001
Springer
14 years 11 days ago
Feature Extraction Using ICA
In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...
Nojun Kwak, Chong-Ho Choi, Jin-Young Choi
ICANN
2005
Springer
14 years 1 months ago
HYDRA: From Cellular Biology to Shape-Changing Artefacts
The HYDRA work provides insight into the exploitation of holistic behavioural and morphological adaptation in the design of new artefacts. The potential of the new design principle...
Esben Hallundbæk Østergaard, David J....
IJCNN
2007
IEEE
14 years 2 months ago
Limited receptive area neural classifier for recognition of swallowing sounds using short-time Fourier transform
— In this paper we propose a sound recognition technique based on the limited receptive area (LIRA) neural classifier and short-time Fourier transform (STFT). LIRA neural classif...
Oleksandr Makeyev, Edward Sazonov, Stephanie A. C....
IROS
2008
IEEE
116views Robotics» more  IROS 2008»
14 years 2 months ago
Selection of robot pre-grasps using box-based shape approximation
— Grasping is a central issue of various robot applications, especially when unknown objects have to be manipulated by the system. In earlier work, we have shown the efficiency ...
Kai Huebner, Danica Kragic
IMCSIT
2010
13 years 5 months ago
Emotional Speech Analysis using Artificial Neural Networks
In the present text, we deal with the problem of classification of speech emotion. Problems of speech processing are addressed through the use of artificial neural networks (ANN). ...
Jana Tucková, Martin Sramka