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Error-block codes and poset metrics
(Amer Inst Mathematical SciencesSpringfieldEUA, 2008)
Development of Supervised Learning Predictive Models for Highly Non-linear Biological, Biomedical, and General Datasets
(Frontiers Media, 2020)
In highly non-linear datasets, attributes or features do not allow readily finding visual patterns for identifying common underlying behaviors. Therefore, it is not possible to achieve classification or regression using ...
New non-compact Calabi–Yau metrics in D = 6
(Iop Publishing, 2010-06)
A method for constructing explicit Calabi-Yau metrics in six dimensions in terms of an initial hyperkahler structure is presented. The equations to solve are non linear in general, but become linear when the objects ...
Metrics for Evaluating Feature-Based Mapping Performance
(IEEE, 2017)
Inrobotic mapping and simultaneous localization and
mapping, the ability to assess the quality of estimated maps is crucial.
While concepts exist for quantifying the error in the estimated
trajectory of a robot, or a ...
Asymmetric free spaces and canonical asymmetrizations
(Polish Acad Sciences Inst Mathematics-IMPAN, 2021)
A construction analogous to that of Godefroy-Kalton for metric spaces allows one to embed isometrically, in a canonical way, every quasi-metric space (X, d) in an asymmetric normed space F-a (X, d) (its quasi-metric free ...
Interior Proximal Algorithm with Variable Metric for Second-Order Cone Programming: Applications to Structural Optimization and Support Vector Machines
(Taylor & Francis, 2009-10)
In this work, we propose an inexact interior proximal-type algorithm for solving convex second-order cone programs. This kind of problem consists of minimizing a convex function (possibly nonsmooth) over the intersection ...
Multi-lag analysis of symbolic entropies on EEG recordings for distress recognition
(Frontiers Media S.A., 2019-05)
Distress is a critical problem in developed societies given its long-term negative effects on physical and mental health. The interest in studying this emotion has notably increased during last years, being electroencephalography ...