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» On the Network Complexity of Selection
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ICIP
2006
IEEE
14 years 9 months ago
Low Complexity Inter-Mode Selection for H.264
The coding efficiency of the H.264/AVC standard enables the transmission of high quality video over bandwidth limited networks. Due to the use of multiple Macroblock (MB) partitio...
Seydou-Nourou Ba, Yucel Altunbasak, Hasan F. Ates
IJON
2000
73views more  IJON 2000»
13 years 7 months ago
A recurrent network model for the phase invariance of complex cell responses
Cortical amplification is a mechanism for modifying the selectivity of neurons through recurrent interactions. Although conventionally used to enhance selectivity, cortical amplif...
Frances S. Chance, Sacha B. Nelson, L. F. Abbott
ISCAS
2007
IEEE
138views Hardware» more  ISCAS 2007»
14 years 1 months ago
Adaptive Pinning Synchronization of A General Complex Dynamical Network
— This paper further investigates and answers two fundamental questions in the complex dynamical networks: i) how many nodes should a general complex dynamical network with fixe...
Jin Zhou, Junan Lu, Jinhu Lu
TSP
2010
13 years 2 months ago
Selection policy-induced reduction mappings for Boolean networks
Developing computational models paves the way to understanding, predicting, and influencing the long-term behavior of genomic regulatory systems. However, several major challenges ...
Ivan Ivanov, Plamen Simeonov, Noushin Ghaffari, Xi...
ICANN
2007
Springer
13 years 9 months ago
Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN)
A multilayer neural network based on multi-valued neurons (MLMVN) is a new powerful tool for solving classification, recognition and prediction problems. This network has a number ...
Igor N. Aizenberg, Jacek M. Zurada