Automated Diatom Classification (Part A): Handcrafted Feature Approaches

Author： Bueno Gloria Deniz Oscar Pedraza Anibal Ruiz-Santaquiteria Jesús Salido Jesús Cristóbal Gabriel Borrego-Ramos María Blanco Saúl

Publisher： MDPI

E-ISSN： 2076-3417|7|8|753-753

ISSN： 2076-3417

Source： Applied Sciences, Vol.7, Iss.8, 2017-07, pp. : 753-753

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Automated Diatom Classification (Part B): A Deep Learning Approach

By Pedraza Anibal Bueno Gloria Deniz Oscar Cristóbal Gabriel Blanco Saúl Borrego-Ramos María

Applied Sciences, Vol. 7, Iss. 5, 2017-05 ,pp. : 460-460

MDPI

Access to resources Recommend Favorite

A Comprehensive Review on Handcrafted and Learning-Based Action Representation Approaches for Human Activity Recognition

By Sargano Allah Bux Angelov Plamen Habib Zulfiqar

Applied Sciences, Vol. 7, Iss. 1, 2017-01 ,pp. : 110-110

MDPI

Access to resources Recommend Favorite

Tunable-Q Wavelet Transform Based Multiscale Entropy Measure for Automated Classification of Epileptic EEG Signals

By Bhattacharyya Abhijit Pachori Ram Bilas Upadhyay Abhay Acharya U. Rajendra

Applied Sciences, Vol. 7, Iss. 4, 2017-04 ,pp. : 385-385

MDPI

Access to resources Recommend Favorite

A Tuning Method for Diatom Segmentation Techniques

By Rojas Camacho Oswaldo Forero Manuel Guillermo Manuel Menéndez José

Applied Sciences, Vol. 7, Iss. 8, 2017-07 ,pp. : 762-762

MDPI

Access to resources Recommend Favorite