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ICA
2010
Springer
13 years 4 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
13 years 9 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»
12 years 10 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 3 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 3 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