Search Results for author:
Found 3 papers, 0 papers with code
Fidelitous Augmentation of Human Accelerometric Data for Deep Learning
This motivates for our work, the objective which is to preserve the following features in a synthesized TS: its fundamental statistical characteristics and important time domain features like its general shape and prominent transients.
Underdetermined Blind Identification via $k$-Sparse Component Analysis: RANSAC-driven Orthogonal Subspace Search
Two primary families of methods exist for underdetermined blind identification (UBI) based on the sparsity of the source matrix: sparse component analysis (SCA) and $k$-SCA.
Vision-based techniques for gait recognition
We then provide motivations for a novel paradigm in biometrics-based human recognition, i. e. the use of the fronto-normal view of gait as a far-range biometrics combined with biometrics operating at a near distance.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
