Juan D. Pulgarin-Giraldo

According to our database, Juan D. Pulgarin-Giraldo authored at least 5 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

An Enhanced Joint Hilbert Embedding-Based Metric to Support Mocap Data Classification with Preserved Interpretability.

Cristian Kaori Valencia-Marin, Juan Diego Pulgarin-Giraldo, Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez

Sensors, 2021

2018

Analysis and Classification of MoCap Data by Hilbert Space Embedding-Based Distance and Multikernel Learning.

Juan Diego Pulgarin-Giraldo, Andrés Marino Álvarez-Meza, Steven Van Vaerenbergh, Ignacio Santamaría, Germán Castellanos-Domínguez

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2017

Relevant Kinematic Feature Selection to Support Human Action Recognition in MoCap Data.

Juan D. Pulgarin-Giraldo, A. A. Ruales-Torres, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez

Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017

2016

A Similarity Indicator for Differentiating Kinematic Performance Between Qualified Tennis Players.

Juan D. Pulgarin-Giraldo, Andrés Marino Álvarez-Meza, L. G. Melo-Betancourt, S. Ramos-Bermudez, Germán Castellanos-Domínguez

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

GMM Background Modeling Using Divergence-Based Weight Updating.

Juan D. Pulgarin-Giraldo, Andrés Marino Álvarez-Meza, David Insuasti-Ceballos, Thierry Bouwmans, Germán Castellanos-Domínguez

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016