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ICANN
2009
Springer
14 years 2 months ago
Multimodal Sparse Features for Object Detection
In this paper the sparse coding principle is employed for the representation of multimodal image data, i.e. image intensity and range. We estimate an image basis for frontal face i...
Martin Haker, Thomas Martinetz, Erhardt Barth
STOC
1998
ACM
139views Algorithms» more  STOC 1998»
13 years 11 months ago
Analysis of Low Density Codes and Improved Designs Using Irregular Graphs
In [6], Gallager introduces a family of codes based on sparse bipartite graphs, which he calls low-density parity-check codes. He suggests a natural decoding algorithm for these c...
Michael Luby, Michael Mitzenmacher, Mohammad Amin ...
TWC
2008
209views more  TWC 2008»
13 years 7 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
ECCV
2006
Springer
14 years 9 months ago
Controlling Sparseness in Non-negative Tensor Factorization
Non-negative tensor factorization (NTF) has recently been proposed as sparse and efficient image representation (Welling and Weber, Patt. Rec. Let., 2001). Until now, sparsity of t...
Matthias Heiler, Christoph Schnörr
CORR
2007
Springer
138views Education» more  CORR 2007»
13 years 7 months ago
Low Density Lattice Codes
— Low density lattice codes (LDLC) are novel lattice codes that can be decoded efficiently and approach the capacity of the additive white Gaussian noise (AWGN) channel. In LDLC...
Naftali Sommer, Meir Feder, Ofir Shalvi