Diffusion map: Difference between revisions

Revision as of 16:04, 26 July 2020

Revision as of 04:33, 21 September 2020

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| title = Fast high dimensional vector multiplication face recognition

| journal = Proceedings of the IEEE International Conference on Computer Vision 2013

| pppages = 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 journal

| last1 = Barkan

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| journal = Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

| date = 2013

| pppages = 7639–7643

}}</ref> and identification,<ref name="speakerid2011" /> sampling on manifolds, anomaly detection<ref name="Mishne" /><ref>{{Cite journal|lastlast1=Shabat|firstfirst1=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|via=}}</ref>, image inpainting,<ref name="Gepshtein" /> and so on.

==See also==

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<ref name="Introduction">{{cite journal

| lastlast1 = De la Porte

| firstfirst1 = J.

| last2 = Herbst

| first2 = B M

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<ref name="sidi11">{{cite conference

| lastlast1 = Oana

| firstfirst1 = Sidi

| first2 = Oliver

| last2 = van Kaick

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<ref name="speakerid2011">{{cite journal

| lastlast1 = Michalevsky

| firstfirst1 = Yan

| first2 = Ronen

| last2 = Talmon

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<ref name="Mishne">{{cite journal

| lastlast1 = Mishne

| firstfirst1 = Gal

| first2 = Israel

| last2 = Cohen

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| doi = 10.1109/jstsp.2012.2232279

| bibcode = 2013ISTSP...7..111M

| s2cid = 1954466

}}</ref>

<ref name="Gepshtein">{{cite journal

| lastlast1 = Gepshtein

| firstfirst1 = Shai

| first2 = Yosi

| last2 = Keller

Line 357 ⟶ 358:

| pmid = 23322762

| bibcode = 2013ITIP...22.2983G

| s2cid = 14375333

}}</ref>

}}