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One-class classifier

6 papers with code · Methodology
Subtask of Outlier Detection

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Adversarially Learned One-Class Classifier for Novelty Detection

CVPR 2018 khalooei/ALOCC-CVPR2018

Our architecture is composed of two deep networks, each of which trained by competing with each other while collaborating to understand the underlying concept in the target class, and then classify the testing samples.

ANOMALY DETECTION ONE-CLASS CLASSIFIER

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

NeurIPS 2018 podgorskiy/GPND

We assume that training data is available to describe only the inlier distribution.

ONE-CLASS CLASSIFIER

Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals

12 Oct 2018MichauGabriel/HELM

The performance is first evaluated on a synthetic dataset that encompasses typical characteristics of condition monitoring data.

DIMENSIONALITY REDUCTION FAULT DETECTION ONE-CLASS CLASSIFIER

Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output

23 Oct 2019gietema/ood-early-layer-detection

Several approaches have been proposed to detect OOD inputs, but the detection task is still an ongoing challenge.

IMAGE CLASSIFICATION ONE-CLASS CLASSIFIER

Localized Multiple Kernel Learning for Anomaly Detection: One-class Classification

21 May 2018Chandan-IITI/LMKAD

In this paper, we present a multiple kernel learning approach for the One-class Classification (OCC) task and employ it for anomaly detection.

ANOMALY DETECTION ONE-CLASS CLASSIFIER

Automatic support vector data description

Soft Computing Journal 2018 RezaSadeghiWSU/ASVDD

Event handlers have wide range of applications such as medical assistant systems and fire suppression systems.

ONE-CLASS CLASSIFIER