An enhanced joint Hilbert embedding-based metric to support mocap data classification with preserved interpretability
CK Valencia-Marin, JD Pulgarin-Giraldo… - Sensors, 2021 - mdpi.com
Motion capture (Mocap) data are widely used as time series to study human movement.
Indeed, animation movies, video games, and biomechanical systems for rehabilitation are …
Indeed, animation movies, video games, and biomechanical systems for rehabilitation are …
Relevant multichannel time series representation based on functional measures in RKHS
JD Pulgarín Giraldo - 2020 - repositorio.unal.edu.co
Kernels methods provide a powerful and unifying framework to solve nonlinear problems
while retaining in many cases, the simplicity of linear solutions. However, in machine …
while retaining in many cases, the simplicity of linear solutions. However, in machine …
[PDF][PDF] Online Efficient And Effective Search In Large And Noisy Sequence Databases
A Kotsifakos - 2014 - mavmatrix.uta.edu
3.1 Introduction In this chapter, we first describe the SMBGT (shorthand for Subsequence
Matching with Bounded Gaps and Tolerances) method that is based on a framework, which …
Matching with Bounded Gaps and Tolerances) method that is based on a framework, which …
Time series classification methodology using reproducing kernel Hilbert spaces embedding
CK Valencia Marín - 2019 - repositorio.utp.edu.co
La clasificación de series de tiempo es una tarea fundamental en las áreas de aprendizaje
de máquina y reconocimiento de patrones, debido a las múltiples aplicaciones que existen …
de máquina y reconocimiento de patrones, debido a las múltiples aplicaciones que existen …