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| journal = Proceedings of the IEEE International Conference on Computer Vision 2013
| pages = 1960–1967
}}</ref> [[spectral clustering]], low dimensional representation of images, image segmentation,<ref name="Farbman" /> 3D model segmentation,<ref name="sidi11" /> speaker verification<ref name="spk">{{cite
| last1 = Barkan
| first1 = Oren
| last2 = Aronowitz
| first2 = Hagai
|
|
▲ | journal = Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
| date = 2013
| pages = 7639–7643
| doi = 10.1109/ICASSP.2013.6639149
}}</ref> and identification,<ref name="speakerid2011" /> sampling on manifolds, anomaly detection,<ref name="Mishne" /><ref>{{Cite journal|last1=Shabat|first1=Gil|last2=Segev|first2=David|last3=Averbuch|first3=Amir|date=2018-01-07|title=Uncovering Unknown Unknowns in Financial Services Big Data by Unsupervised Methodologies: Present and Future trends|url=http://proceedings.mlr.press/v71/shabat18a.html|journal=KDD 2017 Workshop on Anomaly Detection in Finance|language=en|volume=71|pages=8–19}}</ref> image inpainting,<ref name="Gepshtein" /> revealing brain resting state networks organization <ref name="Margulies_et_al_2016">{{cite journal▼
| isbn = 978-1-4799-0356-6
▲ }}</ref> and identification,<ref name="speakerid2011" /> sampling on manifolds, anomaly detection,<ref name="Mishne" /><ref>{{Cite journal|last1=Shabat|first1=Gil|last2=Segev|first2=David|last3=Averbuch|first3=Amir|date=2018-01-07|title=Uncovering Unknown Unknowns in Financial Services Big Data by Unsupervised Methodologies: Present and Future trends|url=http://proceedings.mlr.press/v71/shabat18a.html|journal=KDD 2017 Workshop on Anomaly Detection in Finance|language=en|volume=71|pages=8–19}}</ref> image inpainting,<ref name="Gepshtein" /> revealing brain resting state networks organization <ref name="Margulies_et_al_2016">{{cite journal
| last1 = Margulies
| first1 = Daniel S.
Line 393 ⟶ 395:
| year = 2013
| title = Multiscale Anomaly Detection Using Diffusion Maps
| journal = IEEE Journal of Selected Topics in Signal Processing
| volume = 7
| issue = 1
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