One Class Classifier

One-class classification (OCC) focuses on building models that can identify data points belonging to a single known class, without requiring examples of other classes. Current research emphasizes improving OCC performance through ensemble methods, adapting to evolving data streams using population-based approaches, and leveraging deep learning architectures like autoencoders, variational autoencoders, and transformers, often incorporating novel loss functions or training strategies. OCC finds applications in diverse fields, including anomaly detection (e.g., in network security and satellite imagery analysis), and is particularly valuable when labeled data for other classes is scarce or unavailable, offering a powerful tool for various classification tasks.

Papers

November 10, 2024

Locally Adaptive One-Class Classifier Fusion with Dynamic $\ell$p-Norm Constraints for Robust Anomaly Detection
Sepehr Nourmohammadi, Arda Sarp Yenicesu, Ozgur S. Oguz
Anomaly Detection Participation Constraint Fusion Weight Robust Anomaly Detection One Class Classifier Anomaly Type

December 25, 2023

Lp-Norm Constrained One-Class Classifier Combination
Sepehr Nourmohammadi, Shervin Rahimzadeh Arashloo
One Class Classification Fusion Weight One Class Classifier Classifier Fusion

December 7, 2023

An Evolving Population Approach to Data-Stream Classification with Extreme Verification Latency
Conor Fahy, Shengxiang Yang
Simple Classifier Non Stationary Data Stream Classification Accuracy Data Stream Classification Verification Performance One Class Classifier

July 23, 2023

ProtoFL: Unsupervised Federated Learning via Prototypical Distillation
Hansol Kim, Youngjun Kwak, Minyoung Jung, Jinho Shin, Youngsung Kim, Changick Kim
Data Privacy One Class Classification Unsupervised Federated Learning One Class Classifier

May 19, 2023

A One-Class Classifier for the Detection of GAN Manipulated Multi-Spectral Satellite Images
Lydia Abady, Giovanna Maria Dimitri, Mauro Barni
Generative Model Data Detection High Detection Multi Spectral Satellite Vector Quantized Variational Multispectral Satellite One Class Classifier Multispectral Datasets

April 19, 2023

Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification
Sertac Kilickaya, Mete Ahishali, Fahad Sohrab, Turker Ince, Moncef Gabbouj
Hyperspectral Image One Class Classification Spectral Information One Class Classifier

March 19, 2023

PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Supervised Autoencoder Video Anomaly Detection Anomalous Data One Class Classifier

December 16, 2022

An Upper Bound for the Distribution Overlap Index and Its Applications
Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami
Financial Application Domain Shift One Class Classification Overlap Detection One Class Classifier

December 15, 2022

DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection
Mohanad Sarhan, Gayan Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann
Network Intrusion Detection Deeper Network Hybrid Deep Learning One Class Classification Multi Class Anomaly Detection Network Anomaly Detection One Class Classifier

October 27, 2022

One-Class Risk Estimation for One-Class Hyperspectral Image Classification
Hengwei Zhao, Yanfei Zhong, Xinyu Wang, Hong Shu
Hyperspectral Image Classification One Class Classification Hyperspectral Image Reconstruction One Class Classifier Learning Based Hyperspectral

October 22, 2022

Learning The Likelihood Test With One-Class Classifiers
Francesco Ardizzon, Stefano Tomasin
LeArning Abstract Negative Sample One Class Classification Probability Density Function Class Classifier One Class Support Vector Machine One Class Classifier Likelihood Ratio Test

April 25, 2022

OCFormer: One-Class Transformer Network for Image Classification
Prerana Mukherjee, Chandan Kumar Roy, Swalpa Kumar Roy
Vision Transformer Image Classification Layer Transformer One Class Classification Novel Deep Learning Framework One Class Classifier

March 21, 2022

Multi-class versus One-class classifier in spontaneous speech analysis oriented to Alzheimer Disease diagnosis
K. López-de-Ipiña, Marcos Faundez-Zanuy, Jordi Solé-Casals, Fernando Zelarin, Pilar Calvo
Spontaneous Speech Multi Class Class Classifier Speech Biomarkers One Class Classifier AD Diagnosis

February 2, 2022

Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection
Wen Xu, Julian Jang-Jaccard, Tong Liu, Fariza Sabrina
Generative Adversarial Network Network Intrusion Detection Bidirectional Correspondence One Class Classifier GAN Discriminator

January 5, 2022

Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers
Wenju Sun, Qingyong Li, Jing Zhang, Danyu Wang, Wen Wang, Yangli-ao Geng
Incremental Learning Exemplar Image Discriminative Reply Exemplar Free Class Incremental Learning One Class Classifier

One Class Classifier

Papers

Locally Adaptive One-Class Classifier Fusion with Dynamic $\ell$p-Norm Constraints for Robust Anomaly Detection

Lp-Norm Constrained One-Class Classifier Combination

An Evolving Population Approach to Data-Stream Classification with Extreme Verification Latency

ProtoFL: Unsupervised Federated Learning via Prototypical Distillation

A One-Class Classifier for the Detection of GAN Manipulated Multi-Spectral Satellite Images

Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification

PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies

An Upper Bound for the Distribution Overlap Index and Its Applications

DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection

One-Class Risk Estimation for One-Class Hyperspectral Image Classification

Learning The Likelihood Test With One-Class Classifiers

OCFormer: One-Class Transformer Network for Image Classification

Multi-class versus One-class classifier in spontaneous speech analysis oriented to Alzheimer Disease diagnosis

Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection

Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers