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AUSAI
2004
Springer
16 years 1 days ago
Genetic Algorithm Based K-Means Fast Learning Artificial Neural Network
The K-means Fast Learning Artificial Neural Network (KFLANN) is a small neural network bearing two types of parameters, the tolerance, δ and the vigilance, µ. In previous papers,...
Yin Xiang, Alex Leng Phuan Tay
ICIAR
2004
Springer
16 years 4 hour ago
Visual Object Recognition Through One-Class Learning
Abstract. In this paper, several one-class classification methods are investigated in pixel space and PCA (Principal component Analysis) subspace having in mind the need of finding...
QingHua Wang, Luís Seabra Lopes, David M. J...
139
Voted
MDM
2010
Springer
156views Communications» more  MDM 2010»
15 years 11 months ago
Learning Location Correlation from GPS Trajectories
— People’s location histories imply the location correlation that states the relations between geographical locations in the space of human behavior. With the correlation, we c...
Yu Zheng, Xing Xie
163
Voted
AIIA
2001
Springer
15 years 11 months ago
Wide Coverage Incremental Parsing by Learning Attachment Preferences
This paper presents a novel method for wide coverage parsing using an incremental strategy, which is psycholinguistically motivated. A recursive neural network is trained on treeba...
Fabrizio Costa, Vincenzo Lombardo, Paolo Frasconi,...
HRI
2007
ACM
15 years 10 months ago
Incremental learning of gestures by imitation in a humanoid robot
We present an approach to teach incrementally human gestures to a humanoid robot. The learning process consists of first projecting the movement data in a latent space and encodin...
Sylvain Calinon, Aude Billard