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Video manifold modelling: finding the right parameter settings for anomaly detection.

, , and . IVCNZ, page 168-173. ACM, (2012)

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Analysing Images of Pest Damage to Apples using Wavelets.. New Zealand Computer Science Research Students' Conference, page 101-108. (1999)Anomaly detection in crowd scenes via online adaptive one-class support vector machines., , and . ICIP, page 2434-2438. IEEE, (2015)Ensembles of EFuNNs: An Architecture for a Mutlimodule Classifier., and . FUZZ-IEEE, page 1573-1576. IEEE, (2001)Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine., , and . PAKDD (1), volume 9651 of Lecture Notes in Computer Science, page 165-176. Springer, (2016)Online Hidden Conditional Random Fields to Recognize Activity-Driven Behavior Using Adaptive Resilient Gradient Learning., , and . ICONIP (1), volume 10634 of Lecture Notes in Computer Science, page 515-525. Springer, (2017)Evaluating the Boundaries of Big Data Environments for Machine Learning., , and . Australasian Conference on Artificial Intelligence, volume 11919 of Lecture Notes in Computer Science, page 253-264. Springer, (2019)Online Weighted Clustering for Real-time Abnormal Event Detection in Video Surveillance., , , and . ACM Multimedia, page 536-540. ACM, (2016)A wavelet-based neuro-fuzzy system for data mining small image sets., , and . ACSW, volume 32 of CRPIT, page 139-143. Australian Computer Society, (2004)Spatial-Temporal Pyramid Matching for Crowd Scene Analysis., , and . MLSDA@PRICAI, page 12. ACM, (2014)A Self-adaptive CodeBook (SACB) model for real-time background subtraction., , and . Image Vision Comput., (2015)