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ISNN
2005
Springer
14 years 2 months ago
A Novel Solid Neuron-Network Chip Based on Both Biological and Artificial Neural Network Theories
Built on the theories of biological neural network, artificial neural network methods have shown many significant advantages. However, the memory space in an artificial neural chip...
Zihong Liu, Zhihua Wang, Guolin Li, Zhiping Yu
PRICAI
2004
Springer
14 years 2 months ago
Model Theory for PRS-Like Agents: Modelling Belief Update and Action Attempts
In this paper, we extend our earlier work on modelling the mental states of PRS-like agents by considering the dynamics of belief and modelling of action attempts. The major constr...
Wayne Wobcke
ICASSP
2010
IEEE
13 years 9 months ago
Toward signal processing theory for graphs and non-Euclidean data
Graphs are canonical examples of high-dimensional non-Euclidean data sets, and are emerging as a common data structure in many fields. While there are many algorithms to analyze ...
Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wol...
CORR
2007
Springer
116views Education» more  CORR 2007»
13 years 8 months ago
Cooperative game theory and the Gaussian interference channel
—In this paper we discuss the use of cooperative game theory for analyzing interference channels. We extend our previous work, to games with N players as well as frequency select...
Amir Leshem, Ephraim Zehavi
ICMS
2010
13 years 7 months ago
TADD: A Computational Framework for Data Analysis Using Discrete Morse Theory
This paper presents a computational framework that allows for a robust extraction of the extremal structure of scalar and vector fields on 2D manifolds embedded in 3D. This struct...
Jan Reininghaus, David Günther, Ingrid Hotz, ...