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Improving Optimum-Path Forest Classification Using Confidence Measures
(Springer, 2015-01-01)
Machine learning techniques have been actively pursued in the last years, mainly due to the great number of applications that make use of some sort of intelligent mechanism for decision-making processes. In this work, we ...
Static Video Summarization through Optimum-Path Forest Clustering
(Springer, 2015)
Static Video Summarization through Optimum-Path Forest Clustering
(Springer, 2015)
Analysis and classification of MoCap data by hilbert space embedding-based distance and multikernel learning
(Springer, Cham, 2019-03-03)
A framework is presented to carry out prediction and classification of Motion Capture (MoCap) multichannel data, based on kernel adaptive filters and multi-kernel learning. To this end, a Kernel Adaptive Filter (KAF) ...
Informe de prácticas profesionales en el Centro de Investigación y Desarrollo de Software (CIDS). Actividades ejecutadas Del 1 de diciembre del 2017 al 1 de junio de 2018
(Universidad del Magdalenaingenieriasistemas, 2018)
Realizar los casos de uso y de prueba al sistema de información del Comité Interno de Asignación y Reconocimiento de Puntaje (CIARP). En principio, los recursos utilizados en el desarrollo de un software son de vital ...
A similarity indicator for differentiating kinematic performance between qualified tennis players
(Springer, Cham, 2017-02-16)
This paper presents a data-driven approach to estimate the kinematic performance of tennis players, using kernels to extract a dynamic model of each player from motion capture (MoCap) data. Thus, a metric is introduced in ...
GMM background modeling using divergence-based weight updating
(Springer, Cham, 2017-02-16)
Background modeling is a core task of video-based surveillance systems used to facilitate the online analysis of real-world scenes. Nowadays, GMM-based background modeling approaches are widely used, and several versions ...
Informe de prácticas profesionales en el Centro de Investigación y Desarrollo de Software (CIDS). Actividades ejecutadas Del 1 de Diciembre del 2017 al 1 de junio de 2018
(Universidad del MagdalenaFacultad de IngenieríaIngeniería de Sistemas, 2018)
Video object segmentation using multiple features
(2004)
In this paper we present an algorithm for semi-automatic object extraction from video sequences using multiple features. This work is part of an ongoing e ort to study video segmentation using multiple features, and the ...