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ESANN
2008
13 years 11 months ago
Learning Data Representations with Sparse Coding Neural Gas
Abstract. We consider the problem of learning an unknown (overcomplete) basis from an unknown sparse linear combination. Introducing the "sparse coding neural gas" algori...
Kai Labusch, Erhardt Barth, Thomas Martinetz
DCC
1999
IEEE
14 years 2 months ago
Performance of Quantizers on Noisy Channels Using Structured Families of Codes
Abstract--Achievable distortion bounds are derived for the cascade of structured families of binary linear channel codes and binary lattice vector quantizers. It is known that for ...
András Méhes, Kenneth Zeger
CPAIOR
2005
Springer
14 years 3 months ago
Formulations and Reformulations in Integer Programming
Creating good integer programming formulations had, as a basic axiom, the rule “Find formulations with tighter linear relaxations”. This rule, while useful when using unsophist...
Michael A. Trick
DCC
2008
IEEE
14 years 9 months ago
Dimension Reduction and Expansion: Distributed Source Coding in a Noisy Environment
We studied the problem of distributed coding and transmission of intercorrelated sources with memory. Different from the conventional distributed source coding structure which rel...
Anna N. Kim, Fredrik Hekland
GLOBECOM
2006
IEEE
14 years 3 months ago
Alamouti Space-Time Coded OFDM Systems in Time- and Frequency-Selective Channels
Abstract— We propose low-complexity equalizers for Alamouti space-time coded orthogonal frequency-division multiplexing (OFDM) systems in time- and frequency-selective channels, ...
Kun Fang, Geert Leus, Luca Rugini