Incremental Learning Techniques Within a Self-updating Approach for Face Verification in Video-Surveillance
- 22 September 2019
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- Adaptive appearance model tracking for still-to-video face recognitionPattern Recognition, 2016
- Learning in Nonstationary Environments: A SurveyIEEE Computational Intelligence Magazine, 2015
- Partially-supervised learning from facial trajectories for face recognition in video surveillanceInformation Fusion, 2015
- Analysis of unsupervised template update in biometric recognition systemsPattern Recognition Letters, 2014
- Learning from streaming data with concept drift and imbalance: an overviewProgress in Artificial Intelligence, 2012
- Incremental template updating for face recognition in home environmentsPattern Recognition, 2010
- Online Learning with KernelsIEEE Transactions on Signal Processing, 2004
- Support-vector networksMachine Learning, 1995
- Unsupervised word sense disambiguation rivaling supervised methodsPublished by Association for Computational Linguistics (ACL) ,1995
- Nonlinear neural networks: Principles, mechanisms, and architecturesNeural Networks, 1988