Feature Extraction and Machine Learning for the Classification of Brazilian Savannah Pollen Grains

PLoS ONE - United States
doi 10.1371/journal.pone.0157044
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Public Library of Science (PLoS)

Related search

Classification of Mammograms Using Various Feature Extraction Methods and Machine Learning

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

Machine Learning Based Lithographic Hotspot Detection With Critical-Feature Extraction and Classification

2009English

Feature Selection for DDoS Detection Using Classification Machine Learning Techniques

IAES International Journal of Artificial Intelligence
ControlSystems EngineeringInformation SystemsElectronic EngineeringManagementElectricalArtificial Intelligence
2020English

Feature Extraction for Nonlinear Classification

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2005English

Feature Extraction for Audio Classification

English

The Use of Convolutional Neural Network LeNet for Pollen Grains Classification

2018English

Discriminative Data Transform for Image Feature Extraction and Classification

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2013English

Machine Learning and Knowledge Extraction

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2019English

A New Approach for Epileptic Seizure Detection: Sample Entropy Based Feature Extraction and Extreme Learning Machine

Journal of Biomedical Science and Engineering
2010English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy