715 search results - page 127 / 143 » Neural Network with Matrix Inputs |
NIPS
1997
13 years 10 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
NN
1998
Springer
13 years 8 months ago
1998
Springer
In lamprey, the supraspinal control of velocity is mainly accomplished by the reticulospinal (RS) system. During locomotion, RS neurones are rhythmically active with a cycle durat...
ISNN
2011
Springer
12 years 11 months ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
In this study, a system that discriminates laughter from speech by modelling the relationship between audio and visual features is presented. The underlying assumption is that thi...
INFOCOM
2010
IEEE
13 years 7 months ago
2010
IEEE
Abstract—Inspired by the recent development of optical queueing theory, in this paper we study a class of multistage interconnection networks (MINs), called twister networks. Unl...