Multi-task and multi-kernel Gaussian process dynamical systems-Reference-Cited by-同舟云学术

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Multi-task and multi-kernel Gaussian process dynamical systems

Published:2017-06 Issue: Volume:66 Page:190-201
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Korkinof Dimitrios,Demiris Yiannis

Funder

State Scholarship Foundation of Greece (IKY)

EU FP7 project WYSIWYD

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference45 articles.

1. Comparative study on classifying human activities with miniature inertial and magnetic sensors;Altun;Pattern Recognit.,2010

2. A daily behavior enabled hidden Markov model for human behavior understanding;Chung;Pattern Recognit.,2008

3. A survey of human motion analysis using depth imagery;Chen;Pattern Recognit. Lett.,2013

4. Boosted key-frame selection and correlated pyramidal motion-feature representation for human action recognition;Liu;Pattern Recognit.,2013

5. A novel hierarchical framework for human action recognition;Chen;Pattern Recognit.,2016

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3. Soft sensor for the moisture content of crude oil based on multi-kernel Gaussian process regression optimized by an adaptive variable population fruit fly optimization algorithm;Transactions of the Institute of Measurement and Control;2019-10-23

4. Rough set machine translation using deep structure and transfer learning;Journal of Intelligent & Fuzzy Systems;2018-06-22

5. Human Action Recognition Using Improved Sparse Gaussian Process Latent Variable Model and Hidden Conditional Random Filed;IEEE Access;2018

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