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» Variational Information Maximization for Neural Coding
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VTC
2007
IEEE
125views Communications» more  VTC 2007»
13 years 11 months ago
Channel Decoder Assisted Adaptive Coding and Modulation for HAP Communications
Provision of mobile broadband wireless access, for instance via high altitude platforms (HAPs) to the passengers on a high-speed train, requires the development of efficient and r...
Miha Smolnikar, Tomaz Javornik, Mihael Mohorcic
CISS
2008
IEEE
13 years 11 months ago
Distributed processing in frames for sparse approximation
—Beyond signal processing applications, frames are also powerful tools for modeling the sensing and information processing of many biological and man-made systems that exhibit in...
Christopher J. Rozell
SIGIR
1992
ACM
13 years 8 months ago
Classifying News Stories using Memory Based Reasoning
ct tasks such as extraction of relational information from text [Young] [Jacobs]. We describe a method for classifying news stories using Alternative systems [Biebricher] [Lewis] u...
Brij M. Masand, Gordon Linoff, David L. Waltz
SIAMIS
2011
12 years 11 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
CORR
2006
Springer
108views Education» more  CORR 2006»
13 years 4 months ago
Scheduling and Codeword Length Optimization in Time Varying Wireless Networks
Abstract-- In this paper, a downlink scenario in which a singleantenna base station communicates with K single antenna users, over a time-correlated fading channel, is considered. ...
Mehdi Ansari Sadrabadi, Alireza Bayesteh, Amir K. ...