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BC
2002
85views more  BC 2002»
13 years 9 months ago
Spike propagation synchronized by temporally asymmetric Hebbian learning
Synchronously spiking neurons have been observed in the cerebral cortex and the hippocampus. In computer models, synchronous spike volleys may be propagated across appropriately co...
Roland E. Suri, Terrence J. Sejnowski
COST
2007
Springer
118views Multimedia» more  COST 2007»
14 years 3 months ago
The Organization of a Neurocomputational Control Model for Articulatory Speech Synthesis
The organization of a computational control model of articulatory speech synthesis is outlined in this paper. The model is based on general principles of neurophysiology and cognit...
Bernd J. Kröger, Anja Lowit, Ralph Schnitker
CVPR
1999
IEEE
14 years 11 months ago
Shape from Recognition and Learning: Recovery of 3-D Face Shapes
In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...
Dibyendu Nandy, Jezekiel Ben-Arie
ACTAC
2006
126views more  ACTAC 2006»
13 years 9 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...
IEEEICCI
2009
IEEE
13 years 7 months ago
Learning from an ensemble of Receptive Fields
Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...
Hanlin Goh, Joo Hwe Lim, Chai Quek