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ICANN
2007
Springer
13 years 10 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
CORR
2007
Springer
158views Education» more  CORR 2007»
13 years 8 months ago
Multi-group ML Decodable Collocated and Distributed Space Time Block Codes
Abstract— In this paper, collocated and distributed spacetime block codes (DSTBCs) which admit multi-group maximum likelihood (ML) decoding are studied. First the collocated case...
G. Susinder Rajan, B. Sundar Rajan
TIP
2010
123views more  TIP 2010»
13 years 7 months ago
Optimizing Motion Compensated Prediction for Error Resilient Video Coding
—This paper is concerned with optimization of the motion compensated prediction framework to improve the error resilience of video coding for transmission over lossy networks. Fi...
Hua Yang, Kenneth Rose
ICIP
2010
IEEE
13 years 6 months ago
Deterministic structured network coding for WWAN video broadcast with cooperative peer-to-peer repair
Recent research has exploited the multi-homing property (one terminal with multiple network interfaces) of modern devices to improve communication performance in wireless networks...
Xin Liu, Gene Cheung, Chen-Nee Chuah
ICASSP
2010
IEEE
13 years 8 months ago
Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
William K. Coulter, Cristopher J. Hillar, Guy Isle...