Classification on Stiefel and Grassmann Manifolds via Maximum Likelihood Estimation of Matrix Distributions

Muhammad Ali

Research output: Book chapter/Published conference paperConference paperpeer-review

1 Citation (Scopus)

Abstract

Classification via manifold valued data by using matrix-Fisher and Matrix-Bingham Distribution. The model is based on matrix based normalising constant.
Original languageEnglish
Title of host publicationProceedings of the 2016 International Joint Conference on Neural Networks (IJCNN)
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages3751-3757
Number of pages7
ISBN (Electronic)9781509006199
DOIs
Publication statusPublished - 2016
EventIEEE International Joint Conference on Neural Networks: IJCNN 2016 - Vancouver Convention Centre, Vancouver, Canada
Duration: 24 Jul 201629 Jul 2016
https://web.archive.org/web/20160319082904/http://www.wcci2016.org:80/ (Conference website)

Conference

ConferenceIEEE International Joint Conference on Neural Networks
CountryCanada
CityVancouver
Period24/07/1629/07/16
OtherOn behalf of the organizing committee, it is our great pleasure to invite you to the bi-annual IEEE World Congress on Computational Intelligence (IEEE WCCI) which will be held in the magnificent city of Vancouver, Canada, 24-29 July 2016. Financially sponsored by the IEEE Computational Intelligence Society (CIS), IEEE WCCI 2016 will host three conferences: The 2016 International Joint Conference on Neural Networks (IJCNN 2016), the 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), and the 2016 IEEE Congress on Evolutionary Computation (IEEE CEC 2016) under one roof.
Internet address

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