Breaking the curse of dimensionality in quadratic discriminant analysis models with a novel variant of a Bayes classifier enhances automated taxa identification of freshwater macroinvertebrates-Reference-Cited by-同舟云学术

Breaking the curse of dimensionality in quadratic discriminant analysis models with a novel variant of a Bayes classifier enhances automated taxa identification of freshwater macroinvertebrates

Published:2013-04-30 Issue:4 Volume:24 Page:248-259
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Ärje J.¹,Kärkkäinen S.¹,Turpeinen T.²,Meissner K.³

Affiliation:

1. Department of Mathematics and Statistics; University of Jyväskylä; P.O. Box 35 (MaD); FI-40014; Finland

2. Department of Mathematical Information Technology; University of Jyväskylä; P.O. Box 35 (Agora); FI-40014; Finland

3. Finnish Environment Institute SYKE; Jyväskylä Office, Survontie 9; 40500; Jyväskylä; Finland

Publisher

Wiley

Subject

Ecological Modeling,Statistics and Probability

Reference34 articles.

1. Empirical characterization of random forest variable importance measures;Archer;Computational Statistics & Data Analysis,2008

2. Bagging predictors;Breiman;Machine Learning,1996

3. Random forests;Breiman;Machine Learning,2001

4. Breiman L Cutler A 2008 Random forests - classification manual http://www.math.usu.edu/~adele/forests/

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automated identification of aquatic insects: A case study using deep learning and computer vision techniques;Science of The Total Environment;2024-07

2. Detection of estuarine benthic macroinvertebrates communities using artificial neural network;International Journal of Information Technology;2023-10-14

3. Computer-Assisted Bioidentification Using Freshwater Macroinvertebrates: A Scoping Review;Water;2022-10-15

4. Human experts vs. machines in taxa recognition;Signal Processing: Image Communication;2020-09

5. Benchmark database for fine-grained image classification of benthic macroinvertebrates;Image and Vision Computing;2018-10