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JCNS
2002
99views more  JCNS 2002»
13 years 10 months ago
Coarse-Grained Reduction and Analysis of a Network Model of Cortical Response: I. Drifting Grating Stimuli
We present a reduction of a large-scale network model of visual cortex developed by McLaughlin, Shapley, Shelley, and Wielaard. The reduction is from many integrate-and-fire neuron...
Michael Shelley, David McLaughlin
ISQED
2007
IEEE
127views Hardware» more  ISQED 2007»
14 years 5 months ago
Sensitivity Based Link Insertion for Variation Tolerant Clock Network Synthesis
Clock distribution is one of the key limiting factors in any high speed, sub-100nm VLSI design. Unwanted clock skews, caused by variation effects like manufacturing variations, po...
Joon-Sung Yang, Anand Rajaram, Ninghy Shi, Jian Ch...
ESANN
2006
14 years 16 days ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
IJCNN
2000
IEEE
14 years 2 months ago
Competing Hidden Markov Models on the Self-Organizing Map
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Panu Somervuo
ML
1998
ACM
153views Machine Learning» more  ML 1998»
13 years 10 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun