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ICASSP
2011
IEEE
14 years 1 months ago
Sparse variable reduced rank regression via Stiefel optimization
Reduced rank regression (RRR) has found application in various fields of signal processing. In this paper we propose a novel extension of the RRR model which we call sparse varia...
Magnus O. Ulfarsson, Victor Solo
59
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ICIP
2006
IEEE
15 years 11 months ago
Omnidirectional Views Selection for Scene Representation
This paper proposes a new method for the selection of sets of omnidirectional views, which contribute together to the efficient representation of a 3D scene. When the 3D surface i...
Ivana Tosic, Pascal Frossard
CISS
2008
IEEE
15 years 4 months ago
On sparse representations of linear operators and the approximation of matrix products
—Thus far, sparse representations have been exploited largely in the context of robustly estimating functions in a noisy environment from a few measurements. In this context, the...
Mohamed-Ali Belabbas, Patrick J. Wolfe
ICA
2007
Springer
15 years 3 months ago
Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization
In the paper we present new Alternating Least Squares (ALS) algorithms for Nonnegative Matrix Factorization (NMF) and their extensions to 3D Nonnegative Tensor Factorization (NTF) ...
Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari
ICASSP
2011
IEEE
14 years 1 months ago
A proportionate adaptive algorithm with variable partitioned block length for acoustic echo cancellation
Due to the nature of an acoustic enclosure, the early part (i.e., direct path and early reflections) of the acoustic echo path is often sparse while the late reverberant part of ...
Pradeep Loganathan, Emanuel A. P. Habets, Patrick ...