Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/107195
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical and Electronic Engineering | - |
dc.creator | Jiang, Y | en_US |
dc.creator | Leung, FHF | en_US |
dc.date.accessioned | 2024-06-13T01:04:31Z | - |
dc.date.available | 2024-06-13T01:04:31Z | - |
dc.identifier.isbn | 978-1-5386-3788-3 (Electronic) | en_US |
dc.identifier.isbn | 978-1-5386-3789-0 (Print on Demand(PoD)) | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/107195 | - |
dc.description | 2018 24th International Conference on Pattern Recognition (ICPR), 20-24 August 2018, Beijing, China | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | ©2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication Y. Jiang and F. H. F. Leung, "Generalized Fisher Discriminant Analysis as A Dimensionality Reduction Technique," 2018 24th International Conference on Pattern Recognition (ICPR), Beijing, China, 2018, pp. 994-999 is available at https://doi.org/10.1109/ICPR.2018.8545659. | en_US |
dc.subject | Dimensionality reduction | en_US |
dc.subject | Generalized Fisher Discriminant Analysis | en_US |
dc.subject | Speaker recognition | en_US |
dc.title | Generalized Fisher Discriminant Analysis as a dimensionality reduction technique | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 994 | en_US |
dc.identifier.epage | 999 | en_US |
dc.identifier.doi | 10.1109/ICPR.2018.8545659 | en_US |
dcterms.abstract | Fisher Discriminant Analysis (FDA) has been widely used as a dimensionality reduction technique. Its application varies from face recognition to speaker recognition. In the past two decades, there have been many variations on the formulation of FDA. Different variations adopt different ways to combine the between-class scatter matrix and the within-class scatter matrix, which are two basic components in FDA. In this paper, we propose the Generalized Fisher Discriminant Analysis (GFDA), which provides a general formulation for FDA. GFDA generalizes the standard FDA as well as many different variants of FDA, such as Regularized Linear Discriminant Analysis (R-LDA), Regularized Kernel Discriminant Analysis (R-KDA), Inverse Fisher Discriminant Analysis (IFDA), and Regularized Fisher Discriminant Analysis (RFDA). GFDA can also degenerate to Principal Component Analysis (PCA). Four special types of GFDA are then applied as dimensionality reduction techniques for speaker recognition, in order to investigate the performance of different variants of FDA. Basically, GFDA provides a convenient way to compare different variants of FDA by simply changing some parameters. It makes it easier to explore the roles that the between-class scatter matrix and the within-class scatter matrix play. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | In Proceedings of 2018 24th International Conference on Pattern Recognition (ICPR), 20-24 August 2018, Beijing, China, p. 994-999 | en_US |
dcterms.issued | 2018 | - |
dc.identifier.scopus | 2-s2.0-85059782288 | - |
dc.relation.conference | International Conference on Pattern Recognition [ICPR] | - |
dc.description.validate | 202404 bckw | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | EIE-0478 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | The Hong Kong Polytechnic University | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 20096240 | - |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Jiang_Generalized_Fisher_Discriminant.pdf | Pre-Published version | 695.94 kB | Adobe PDF | View/Open |
Page views
1
Citations as of Jun 30, 2024
SCOPUSTM
Citations
6
Citations as of Jun 21, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.