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SOFTWARE

ENCODE

Matlab codes that allow to reproduce the figures included our Scientific Reports (Nature) paper: Multidimensional encoding of brain connectomes”, Cesar F. Caiafa and Franco Pestilli, Scientific Reports (Nature),  7, Article number: 11491 (2017).

LOW-RANK TENSOR-CS DEMO

Matlab codes that allow to reproduce the figures included our IEEE Tran. Sig. Pro paper: “Stable, Robust and Super Fast Reconstruction of Tensors Using Multi-Way Projections”, C. F. Caiafa, A. Cichocki, IEEE Transactions on Signal Processing, Vol. 63, No. 3, pp. 780 - 793, Jan. 2015. ArXiv preprint.

MULTIDIMENSIONAL-CS DEMO

Matlab codes that allow to reproduce the figures included in the paper: "Multidimensional Compressed Sensing and its Applications", by C. Caiafa and A. Cichocki, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 3, No. 6, pp. 355-380, Sept 2013. Preprint.

N-WAY BLOCK-SPARSE TENSOR REPRESENTATION DEMO

Matlab implementation of the N-way Block-sparse Orthogonal Matching Pursuit (N-BOMP) algorithm, specially for Compressive Imaging (CI) applications as illustrated in the paper "Computing Sparse Representations of Multidimensional Signals Using Kronecker Bases", C. F. Caiafa, A. Cichocki,  Neural Computation Journal, Vol. 25, No. 1 , pp. 186-220, 2013. Preprint.

FSTD DEMO

Fiber Sampling Tensor Decomposition (FSTD). Fast computation of Tucker decomposition using Partial Sampling as described in the paper “Generalizing the Column-Row Matrix Decomposition to Multi-way Arrays”, Cesar F. Caiafa, A. Cichocki, Linear Algebra and its Applications, Vol. 433, pp. 557–573, 2010 (Elsevier).

DOWNLOAD PRESENTATIONS / POSTERS

2015

  • “Tensor Decompositions: Applications to Multidimensional Signal Processing”, Cesar F. Caiafa. Talk given at IFLYSIB, La Plata, Argentina in September 2015 and Universidad Federico Santa Maria, Valparaíso, Chile, in November 2015. Presentation.

2014

2012

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