A new simple and efficient density estimator that enables fast systematic search-Reference-Cited by-同舟云学术

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A new simple and efficient density estimator that enables fast systematic search

Published:2019-05 Issue: Volume:122 Page:92-98
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Wells Jonathan R.,Ting Kai Ming

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference23 articles.

1. Random average shifted histograms;Bourel;Comput. Stat. Data Anal.,2014

2. D. Dheeru, E.K. Taniskidou, UCI machine learning repository, 2017.

3. Mining outlying aspects on numeric data;Duan;Min.Knowl. Discov.,2015

4. Systematic construction of anomaly detection benchmarks from real data;Emmott,2013

5. A density-based algorithm for discovering clusters in large spatial databases with noise;Ester,1996

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3. Outlying Aspect Mining via Sum-Product Networks;Advances in Knowledge Discovery and Data Mining;2023

4. Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss;Discovery Science;2023

5. Towards a generic theoretical framework for pattern-based LUCC modeling;Environmental Modelling & Software;2022-12

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