125 search results - page 5 / 25 » A new clustering algorithm applying a hierarchical method ne... |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Inspired by the universal laws governing different kinds of complex networks, we propose a scale-free highlyclustered echo state network (SHESN). Different from echo state netw...
GECCO
2004
Springer
14 years 23 days ago
2004
Springer
Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...
AAIM
2009
Springer
14 years 2 months ago
2009
Springer
During the last years, a wide range of huge networks has been made available to researchers. The discovery of natural groups, a task called graph clustering, in such datasets is a ...
GECCO
2005
Springer
14 years 27 days ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
ECIR
2007
Springer
13 years 8 months ago
2007
Springer
We propose an innovative, general purpose, method to the selection and hierarchical representation of key frames of a video sequence for video summarization. It is able to create a...