Improving novelty detection with generative adversarial networks on hand gesture data

Miguel Simão; Pedro Neto; Olivier Gibaru

doi:10.1016/j.neucom.2019.05.064

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JOURNAL ARTICLE

Improving novelty detection with generative adversarial networks on hand gesture data

Miguel Simão Pedro Neto Olivier Gibaru

Year: 2019 Journal: Neurocomputing Vol: 358 Pages: 437-445 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2019.05.064

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Keywords:

Discriminative model Novelty detection Computer science Gesture Artificial intelligence Novelty Set (abstract data type) Metric (unit) Generative grammar Vocabulary Data set Artificial neural network Pattern recognition (psychology) Generative model Machine learning Noise (video) Generative adversarial network Sample (material) Deep learning Engineering

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Digital Media Forensic Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Improving novelty detection with generative adversarial networks on hand gesture data

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