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» On General Laws of Complex Networks
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ICVGIP
2004
15 years 5 months ago
Cursive Word Recognition Using a Novel Feature Extraction Method and a Neural Network
In this paper, we present a holistic system for the recognition of cursive handwriting that utilizes a novel feature extraction method and a neural network. The Hough transform is...
José Ruiz-Pinales, René Jaime-Rivas
BC
2008
72views more  BC 2008»
15 years 4 months ago
Spike-train spectra and network response functions for non-linear integrate-and-fire neurons
Reduced models have long been used as a tool for the analysis of the complex activity taking place in neurons and their coupled networks. Recent advanced in experimental and theore...
Magnus J. E. Richardson
BIB
2006
84views more  BIB 2006»
15 years 4 months ago
Computational methodologies for modelling, analysis and simulation of signalling networks
This article is a critical review of computational techniques used to model, analyse and simulate signalling networks. We propose a conceptual framework, and discuss the role of s...
David R. Gilbert, Hendrik Fuß, Xu Gu, Richar...
ICANNGA
2009
Springer
145views Algorithms» more  ICANNGA 2009»
15 years 10 months ago
Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators
We propose a generalized model with configurable discretizer actuators as a solution to the problem of the discretization of massive numerical datasets. Our solution is based on a ...
Isaac Olusegun Osunmakinde, Antoine B. Bagula
DIALM
2004
ACM
113views Algorithms» more  DIALM 2004»
15 years 9 months ago
Gathering correlated data in sensor networks
In this paper, we consider energy-efficient gathering of correlated data in sensor networks. We focus on single-input coding strategies in order to aggregate correlated data. For ...
Pascal von Rickenbach, Roger Wattenhofer