no code implementations • 16 Jan 2023 • Laura Rebollo-Neira, Khalil Battikh, Amadou Sidi Watt
The proposal considers the sparsity of the representation of a heartbeat as a parameter for morphological identification.
no code implementations • 14 May 2021 • Laura Rebollo-Neira, Aurelien Inacio
Transformations for enhancing sparsity in the approximation of color images by 2D atomic decomposition are discussed.
no code implementations • 11 Nov 2016 • Laura Rebollo-Neira
Effective sparse representation of X-Ray medical images within the context of data reduction is considered.
no code implementations • 31 Aug 2016 • Laura Rebollo-Neira, Miroslav Rozloznik, Pradip Sasmal
The convergence and numerical analysis of a low memory implementation of the Orthogonal Matching Pursuit greedy strategy, which is termed Self Projected Matching Pursuit, is presented.
no code implementations • 27 Aug 2013 • Laura Rebollo-Neira, Ryszard Maciol, Shabnam Bibi
An approach for effective implementation of greedy selection methodologies, to approximate an image partitioned into blocks, is proposed.