mlsanityData to 7 Oct 2026

One-Class Classification: Taxonomy of Study and Review of Techniques

arXiv 1312.0049 ↗First posted 30 Nov 2013cs.LG cs.AIcited by 68

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Abstract (arXiv)

One-class classification (OCC) algorithms aim to build classification models when the negative class is either absent, poorly sampled or not well defined. This unique situation constrains the learning of efficient classifiers by defining class boundary just with the knowledge of positive class. The OCC problem has been considered and applied under many research themes, such as outlier/novelty detection and concept learning. In this paper we present a unified view of the general problem of OCC by presenting a taxonomy of study for OCC problems, which is based on the availability of training data, algorithms used and the application domains applied. We further delve into each of the categories of the proposed taxonomy and present a comprehensive literature review of the OCC algorithms, techniques and methodologies with a focus on their significance, limitations and applications. We conclude our paper by discussing some open research problems in the field of OCC and present our vision for future research.

Key facts. Cited by 68 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Nov 2013.

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Citing papers per year: 2021: 13; 2022: 16; 2023: 13; 2024: 14; 2025: 5; 2026: 7.

68 papers.

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  1. 2021Testing for Outliers with Conformal p-valuescited by 133
  2. 2023Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detectioncited by 42
  3. 2021One-Class Classification: A Surveycited by 35
  4. 2023A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluationcited by 24
  5. 2022Out-Of-Distribution Detection Is Not All You Needcited by 23
  6. 2022Integrative conformal p-values for powerful out-of-distribution testing with labeled outlierscited by 19
  7. 2023Learning Safety Constraints from Demonstrations with Unknown Rewardscited by 19
  8. 2022SAMO: Speaker Attractor Multi-Center One-Class Learning for Voice Anti-Spoofingcited by 18
  9. 2022Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directionscited by 14
  10. 2023Meta-survey on outlier and anomaly detectioncited by 12
  11. 2022Fast Deep Autoencoder for Federated learningcited by 10
  12. 2024Gibberish is All You Need for Membership Inference Detection in Contrastive Language-Audio Pretrainingcited by 10
38 more
  1. 2023When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detectioncited by 8
  2. 2024TUNI: A Textual Unimodal Detector for Identity Inference in CLIP Modelscited by 8
  3. 2021Innovations Autoencoder and its Application in One-class Anomalous Sequence Detectioncited by 7
  4. 2021Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours from Multimodal Videoscited by 7
  5. 2022Multi Visual Modality Fall Detection Datasetcited by 7
  6. 2021CVAD: A generic medical anomaly detector based on Cascade VAEcited by 6
  7. 2025Subject Information Extraction for Novelty Detection with Domain Shiftscited by 6
  8. 2021ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detectioncited by 4
  9. 2021Margin-Aware Intra-Class Novelty Identification for Medical Imagescited by 2
  10. 2022Unknown Face Presentation Attack Detection via Localised Learning of Multiple Kernelscited by 2
  11. 2023A Cloud-based Deep Learning Framework for Early Detection of Pushing at Crowded Event Entrancescited by 2
  12. 2023Anomaly detection with semi-supervised classification based on risk estimatorscited by 2
  13. 2024usfAD Based Effective Unknown Attack Detection Focused IDS Frameworkcited by 2
  14. 2024Critical Review for One-class Classification: recent advances and the reality behind themcited by 2
  15. 2021The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detectioncited by 1
  16. 2021Multi-Perspective Anomaly Detectioncited by 1
  17. 2021Video Abnormal Event Detection by Learning to Complete Visual Cloze Testscited by 1
  18. 2021Improving Novelty Detection using the Reconstructions of Nearest Neighbourscited by 1
  19. 2022SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Controlcited by 1
  20. 2022Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular datacited by 1
  21. 2022DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detectioncited by 1
  22. 2023Convolutional autoencoder-based multimodal one-class classificationcited by 1
  23. 2023A Novel Voronoi-based Convolutional Neural Network Framework for Pushing Person Detection in Crowd Videoscited by 1
  24. 2023Temporal Shift -- Multi-Objective Loss Function for Improved Anomaly Fall Detectioncited by 1
  25. 2023Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?cited by 1
  26. 2024A Robust Autoencoder Ensemble-Based Approach for Anomaly Detection in Textcited by 1
  27. 2025Multivariate Time Series Anomaly Detection in Industry 5.0cited by 1
  28. 2021Multi-view Deep One-class Classification: A Systematic Explorationcited by 0
  29. 2021Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Imagescited by 0
  30. 2022Sparsity-based Feature Selection for Anomalous Subgroup Discoverycited by 0
  31. 2022On The Effectiveness of One-Class Support Vector Machine in Different Defect Prediction Scenarioscited by 0
  32. 2022Towards Targeted Change Detection with Heterogeneous Remote Sensing Images for Forest Mortality Mappingcited by 0
  33. 2022ℓp Slack Norm Support Vector Data Descriptioncited by 0
  34. 2022One-Class Model for Fabric Defect Detectioncited by 0
  35. 2022An Upper Bound for the Distribution Overlap Index and Its Applicationscited by 0
  36. 2023Efficient Training of One Class Classification-SVMscited by 0
  37. 2023OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detectioncited by 0
  38. 2024One-class anomaly detection through color-to-thermal AI for building envelope inspectioncited by 0

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