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Unsupervised Outlier Detection Using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures
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Outgoing claims: the papers this work cites, builds on, or argues with.
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On the Surprising Behavior of Distance Metrics in High Dimensional Space
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Outlier Detection Using Replicator Neural Networks
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Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data
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Exchangeability and related topics
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FindOut : Finding Outliers in Very Large Datasets
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A Survey of Outlier Detection Methodologies
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Loda: Lightweight on-line detector of anomalies
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An online classification EM algorithm based on the mixture model
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Multiple Hierarchical Dirichlet Processes for anomaly detection in traffic
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Nonparametric Bayesian background estimation for hyperspectral anomaly detection
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Anomaly detection via a Gaussian Mixture Model for flight operation and safety monitoring
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An Introduction to Variational Methods for Graphical Models
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Procedures for Detecting Outlying Observations in Samples
inferredcites →https://doi.org/10.1080/01621459.1987.10478427openalex-extracted
Exploratory Projection Pursuit
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Variational Inference: A Review for Statisticians
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Markov Chain Sampling Methods for Dirichlet Process Mixture Models
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Pattern Recognition and Machine Learning
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Anomaly Intrusion Detection System Using Gaussian Mixture Model
inferredcites →https://doi.org/10.1109/icde.2011.5767916openalex-extracted
Statistical selection of relevant subspace projections for outlier ranking
inferredcites →https://doi.org/10.1109/icde.2012.88openalex-extracted
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
inferredcites →https://doi.org/10.1109/icdm50108.2020.00135openalex-extracted
COPOD: Copula-Based Outlier Detection
inferredcites →https://doi.org/10.1109/icip.2001.958946openalex-extracted
One-class SVM for learning in image retrieval
inferredcites →https://doi.org/10.1109/icpr.2000.906021openalex-extracted
Clustering very large databases using EM mixture models
inferredcites →https://doi.org/10.1109/icpr.2004.1334558openalex-extracted
Outlier detection using k-nearest neighbour graph
inferredcites →https://doi.org/10.1109/isda.2009.220openalex-extracted
Fully Unsupervised Learning of Gaussian Mixtures for Anomaly Detection in Hyperspectral Imagery
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A Novel Outlier Detection Method for Multivariate Data
inferredcites →https://doi.org/10.1109/tkde.2022.3159580openalex-extracted
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions
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Deep Isolation Forest for Anomaly Detection
inferredcites →https://doi.org/10.1109/wacv.2017.74openalex-extracted
Active Online Anomaly Detection Using Dirichlet Process Mixture Model and Gaussian Process Classification
inferredcites →https://doi.org/10.1111/coin.12156openalex-extracted
Isolation‐based anomaly detection using nearest‐neighbor ensembles
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Outlier Detection with Globally Optimal Exemplar-Based GMM
inferredcites →https://doi.org/10.1145/1081870.1081891openalex-extracted
Feature bagging for outlier detection
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Angle-based outlier detection in high-dimensional data
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Subsampling for efficient and effective unsupervised outlier detection ensembles
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Systematic construction of anomaly detection benchmarks from real data
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Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction
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Theoretical Foundations and Algorithms for Outlier Ensembles
inferredcites →https://doi.org/10.1145/335191.335437openalex-extracted
Efficient algorithms for mining outliers from large data sets
inferredcites →https://doi.org/10.1145/342009.335437openalex-extracted
Efficient algorithms for mining outliers from large data sets
inferredcites →https://doi.org/10.1145/375663.375668openalex-extracted
Outlier detection for high dimensional data
inferredcites →https://doi.org/10.1145/376284.375668openalex-extracted
Outlier detection for high dimensional data
inferredcites →https://doi.org/10.1145/502512.502546openalex-extracted
Random projection in dimensionality reduction
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Estimating the Support of a High-Dimensional Distribution
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A comprehensive survey of anomaly detection techniques for high dimensional big data
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Gibbs Sampling Methods for Stick-Breaking Priors
inferredcites →https://doi.org/10.1198/1061860043001openalex-extracted
A Split-Merge Markov chain Monte Carlo Procedure for the Dirichlet Process Mixture Model
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Variational inference for Dirichlet process mixtures
inferredcites →https://doi.org/10.1214/11-ba625openalex-extracted
Bayesian Outlier Detection with Dirichlet Process Mixtures
inferredcites →https://doi.org/10.1214/aos/1176342360openalex-extracted
A Bayesian Analysis of Some Nonparametric Problems
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Ferguson Distributions Via Polya Urn Schemes
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Asymptotics of Graphical Projection Pursuit
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A Constructive Definition of Dirichlet Priors
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Auto-Encoding Variational Bayes
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PyOD: A Python Toolbox for Scalable Outlier Detection
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