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» On the Use of Evidence in Neural Networks
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ECCV
2008
Springer
16 years 8 months ago
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xi...
ICIAR
2005
Springer
16 years 4 days ago
Text-Pose Estimation in 3D Using Edge-Direction Distributions
Abstract. This paper presents a method for estimating the orientation of planar text surfaces using the edge-direction distribution (EDD) extracted from the image as input to a neu...
Marius Bulacu, Lambert Schomaker
INFOCOM
2008
IEEE
16 years 1 months ago
Modeling Resource Sharing Dynamics of VoIP Users over a WLAN Using a Game-Theoretic Approach
—We consider a scenario in which users share an access point and are mainly interested in VoIP applications. Each user is allowed to adapt to varying network conditions by choosi...
Edson H. Watanabe, Daniel S. Menasché, Edmu...
EELC
2006
128views Languages» more  EELC 2006»
15 years 10 months ago
Evolving Distributed Representations for Language with Self-Organizing Maps
We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...
Simon D. Levy, Simon Kirby
NN
2002
Springer
105views Neural Networks» more  NN 2002»
15 years 6 months ago
The computational role of dopamine D1 receptors in working memory
The prefrontal cortex (PFC) is essential for working memory, which is the ability to transiently hold and manipulate information necessary for generating forthcoming action. PFC n...
Daniel Durstewitz, Jeremy K. Seamans