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ESANN
2006
15 years 5 months ago
Nonlinear dynamics in neural computation
This tutorial reports on the use of nonlinear dynamics in several different models of neural systems. We discuss a number of distinct approaches to neural information processing ba...
Tjeerd Olde Scheper, Nigel Crook
CCECE
2006
IEEE
15 years 10 months ago
A Dynamic Associative E-Learning Model based on a Spreading Activation Network
Presenting information to an e-learning environment is a challenge, mostly, because ofthe hypertextlhypermedia nature and the richness ofthe context and information provides. This...
Phongchai Nilas, Nilamit Nilas, Somsak Mitatha
CVPR
2004
IEEE
16 years 6 months ago
Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation
Background modeling is an important component of many vision systems. Existing work in the area has mostly addressed scenes that consist of static or quasi-static structures. When...
Anurag Mittal, Nikos Paragios
CSL
2007
Springer
15 years 4 months ago
Speaker-adaptive learning of resonance targets in a hidden trajectory model of speech coarticulation
A novel speaker-adaptive learning algorithm is developed and evaluated for a hidden trajectory model of speech coarticulation and reduction. Central to this model is the process o...
Dong Yu, Li Deng, Alex Acero
SBCCI
2005
ACM
98views VLSI» more  SBCCI 2005»
15 years 9 months ago
Mapping embedded systems onto NoCs: the traffic effect on dynamic energy estimation
This work addresses the problem of application mapping in networks-on-chip (NoCs). It explores the importance of characterizing network traffic to effectively predict NoC energy c...
José Carlos S. Palma, César A. M. Ma...