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128
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NECO
2008
111views more  NECO 2008»
15 years 4 months ago
A Neural Network Model of the Eriksen Task: Reduction, Analysis, and Data Fitting
We analyze a neural network model of the Eriksen task, a twoalternative forced choice task in which subjects must correctly identify a central stimulus and disregard flankers that...
Yuan Sophie Liu, Philip Holmes, Jonathan D. Cohen
126
Voted
CCE
2005
15 years 4 months ago
New rigorous one-step MILP formulation for heat exchanger network synthesis
In this paper, a rigorous MILP formulation for grass-root design of heat exchanger networks is developed. The methodology does not rely on traditional supertargeting followed by n...
Andrés F. Barbaro, Miguel J. Bagajewicz
COMCOM
2007
145views more  COMCOM 2007»
15 years 4 months ago
Jointly rate and power control in contention based MultiHop Wireless Networks
This paper presents a new algorithm for jointly optimal control of session rate, link attempt rate, and link power in contention based MultiHop Wireless Networks. Formulating the ...
Abdorasoul Ghasemi, Karim Faez
NN
1998
Springer
15 years 3 months ago
Statistical estimation of the number of hidden units for feedforward neural networks
The number of required hidden units is statistically estimated for feedforward neural networks that are constructed by adding hidden units one by one. The output error decreases w...
Osamu Fujita
ICCV
1999
IEEE
16 years 6 months ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...