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ICA
2010
Springer
13 years 11 months ago
Binary Sparse Coding
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
Marc Henniges, Gervasio Puertas, Jörg Bornsch...
IJCNN
2006
IEEE
14 years 4 months ago
SOM-Based Sparse Binary Encoding for AURA Classifier
—The AURA k-Nearest Neighbour classifier associates binary input and output vectors, forming a compact binary Correlation Matrix Memory (CMM). For a new input vector, matching ve...
Simon O'Keefe
NN
2011
Springer
348views Neural Networks» more  NN 2011»
13 years 5 months ago
Tree-like hierarchical associative memory structures
In this letter we explore an alternative structural representation for Steinbuch-type binary associative memories. These networks offer very generous storage capacities (both asy...
João Sacramento, Andreas Wichert
CORR
2008
Springer
197views Education» more  CORR 2008»
13 years 10 months ago
Sequential adaptive compressed sampling via Huffman codes
In this paper we introduce an information theoretic approach and use techniques from the theory of Huffman codes to construct a sequence of binary sampling vectors to determine a s...
Akram Aldroubi, Haichao Wang, Kourosh Zarringhalam
TWC
2008
209views more  TWC 2008»
13 years 10 months ago
Application of Nonbinary LDPC Cycle Codes to MIMO Channels
In this paper, we investigate the application of nonbinary low-density parity-check (LDPC) cycle codes over Galois field GF(q) to multiple-input multiple-output (MIMO) channels. Tw...
Ronghui Peng, Rong-Rong Chen