Hierarchical classification method based on selective learning of slacked hierarchy for activity recognition systems-Reference-Cited by-同舟云学术

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Hierarchical classification method based on selective learning of slacked hierarchy for activity recognition systems

Published:2017-12 Issue: Volume:88 Page:165-177
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Khowaja Sunder Ali,Yahya Bernardo Nugroho,Lee Seok-Lyong

Funder

National Research Foundation of Korea (NRF)

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference76 articles.

1. Human activity recognition from 3D data: A review;Aggarwal;Pattern Recognition Letters,2014

2. Reducing multiclass to binary: A unifying approach for margin classifiers;Allwein;Journal of Machine Learning Research,2000

3. Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine;Anguita,2012

4. Performance comparison of SVM and ANN for handwritten devnagari character recognition;Arora;International Journal of Computer Science Issues,2010

5. A genetic-based subspace analysis method for improving error-correcting Output Coding;Bagheri;Pattern Recognition,2013

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