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» Optimal spontaneous activity in neural network modeling
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GLOBECOM
2007
IEEE
15 years 4 months ago
A Steepest Descent Relocation Algorithm for Placement of Sinks in a Sensor Network
— In this paper we use an information flow model for placement of traffic sinks in a wireless sensor network. Our mathematical model translates a communication network composed...
Mehdi Kalantari, Mark A. Shayman
IJCNN
2006
IEEE
15 years 4 months ago
Semi-Supervised Model Selection Based on Cross-Validation
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
Matti Kaariainen
ICIG
2009
IEEE
14 years 7 months ago
Statistical Modeling of Optical Flow
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
Dongmin Ma, Véronique Prinet, Cyril Cassisa
JMLR
2010
107views more  JMLR 2010»
14 years 4 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
IJCNN
2007
IEEE
15 years 4 months ago
Enhanced Facilitatory Neuronal Dynamics for Delay Compensation
— Our earlier work has suggested that neuronal transmission delay may cause serious problems unless a compensation mechanism exists. In that work, facilitating neuronal dynamics ...
Jaerock Kwon, Yoonsuck Choe