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FLAIRS
2004
15 years 6 months ago
Spatiotemporal Novelty Detection Using Resonance Networks
We present a single-layer recurrent neural network that implements novelty detection for spatiotemporal patterns. The architecture is based on the structure of region CA3 in the h...
Benjamin A. Rowland, Anthony S. Maida
ICMCS
2009
IEEE
146views Multimedia» more  ICMCS 2009»
15 years 3 months ago
Deep networks for audio event classification in soccer videos
In this work is presented a novel approach for the classification of audio concepts in broadcast soccer videos using deep belief network (DBN), a probabilistic neural network with...
Lamberto Ballan, Alessio Bazzica, Marco Bertini, A...
IJCNN
2006
IEEE
15 years 11 months ago
Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model
— This paper describes an area-efficient mixed-signal implementation of synapse-based long term plasticity realized in a VLSI1 model of a spiking neural network. The artificial...
Johannes Schemmel, Andreas Grübl, Karlheinz M...
NIPS
2008
15 years 6 months ago
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Offline handwriting recognition--the transcription of images of handwritten text--is an interesting task, in that it combines computer vision with sequence learning. In most syste...
Alex Graves, Jürgen Schmidhuber
ISNN
2005
Springer
15 years 11 months ago
Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure
Abstract. This paper proposes a novel algorithm based on informax for postnonlinear blind source separation. The demixing system culminates to a neural network with sandwiched stru...
Chunhou Zheng, Deshuang Huang, Zhan-Li Sun, Li Sha...