Multi-view Regularized Extreme Learning Machine for Human Action Recognition

Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas

doi:10.1007/978-3-319-07064-3_7

ScienceGate Book Chapters

BOOK-CHAPTER

Multi-view Regularized Extreme Learning Machine for Human Action Recognition

Alexandros Iosifidis Anastasios Tefas Ioannis Pitas

Year: 2014 Lecture notes in computer science Pages: 84-94 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-07064-3_7

Get Full-Text PDF Get Analytical Report

Keywords:

Concatenation (mathematics) Regularization (linguistics) Computer science Extreme learning machine Artificial intelligence Exploit Representation (politics) Machine learning Feature learning Action recognition Pattern recognition (psychology) Action (physics) Artificial neural network Mathematics

Metrics

Cited By

2.51

FWCI (Field Weighted Citation Impact)

Refs

0.90

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-view Regularized Extreme Learning Machine for Human Action Recognition

Metrics

Citation History

Topics

Related Documents

Human Action Recognition Based on Multi-View Regularized Extreme Learning Machine

Regularized extreme learning machine for multi-view semi-supervised action recognition

Multi-View Action Recognition Method Based on Regularized Extreme Learning Machine

Single/multi-view human action recognition via regularized multi-task learning

Regularized Multi-view Multi-metric Learning for Action Recognition