Retraction Note to: Discovering Graphical Visual Features for Abnormal Semantic Event Detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-019-7705-2.pdf
Reference5 articles.
1. Chang X, Ma Z, Lin M et al (2017) Feature interaction augmented sparse learning for fast Kinect motion detection. IEEE Trans Image Process. https://doi.org/10.1109/TIP.2017.2708506
2. Nie X, He D, Chan S et al (2016) Network anomaly detection using unsupervised feature selection and density peak clustering. Lect Notes Comput Sci. https://doi.org/10.1007/978-3-319-39555-5_12
3. Wang F, Ma Y, Jin Y et al (2018) Discovering graphical visual features for abnormal semantic event detection. Multimed Tools Appl 77:3245. https://doi.org/10.1007/s11042-017-5057-3
4. Zhang L, Song M, Li N et al (2009) Feature selection for fast speech emotion recognition. In: Proceedings of the 17th ACM International Conference on Multimedia. https://doi.org/10.1145/1631272.1631405
5. Zhang L, Tao D, Liu X et al (2013) Grassmann multimodal implicit feature selection. Multimedia Systems. https://doi.org/10.1007/s00530-013-0317-1
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