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» Quantization of Sparse Representations
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JMLR
2012
13 years 8 months ago
NIMFA: A Python Library for Nonnegative Matrix Factorization
NIMFA is an open-source Python library that provides a unified interface to nonnegative matrix factorization algorithms. It includes implementations of state-of-the-art factoriza...
Marinka Zitnik, Blaz Zupan
DAC
1996
ACM
15 years 10 months ago
Efficient Full-Wave Electromagnetic Analysis via Model-Order Reduction of Fast Integral Transforms
Abstract-An efficient full-wave electromagnetic analysis tool would be useful in many aspects of engineering design. Development of integral-equation based tools has been hampered ...
Joel R. Philips, Eli Chiprout, David D. Ling
ICASSP
2011
IEEE
14 years 9 months ago
An unsupervised algorithm for hybrid/morphological signal decomposition
The main contribution presented here is an adaptive/unsupervised iterative thresholding algorithm for sparse representation of signals which can be modeled as the sum of two compo...
Matthieu Kowalski, Thomas Rodet
CISS
2008
IEEE
16 years 14 days ago
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
Robert L. Ortman, Christopher J. Rozell, Don H. Jo...
ICIP
2009
IEEE
16 years 7 months ago
On The Empirical Rate-distortion Performance Of Compressive Sensing
Compressive Sensing (CS) is a new paradigm in signal acquisition and compression. In compressive sensing, a compressible signal is acquired using much less measurements than the o...