Unconstrained functional criteria for canonical correlation analysis

Mohammed A. Hasan

doi:10.1109/ISCAS.2005.1465088

Unconstrained functional criteria for canonical correlation analysis

Mohammed A. Hasan

Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

4 Scopus citations

Abstract

Unconstrained and constrained optimization criteria for extracting multiple true canonical variates and canonical correlations are proposed. These include a weighted information criterion (WINC-CCA) and a shifted information criterion (SINC-CCA) for searching the optimal solutions. The gradient flows of the proposed CCA functions are analyzed and some of their convergence properties are presented. The main feature of this approach is that the actual canonical variates are automatically obtained. Based on the gradient-ascent method, many algorithms for performing the true CCA recursively are provided.

Original language	English (US)
Article number	1465088
Pages (from-to)	2317-2320
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
DOIs	https://doi.org/10.1109/ISCAS.2005.1465088
State	Published - 2005
Event	IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan Duration: May 23 2005 → May 26 2005

Access

10.1109/ISCAS.2005.1465088

OpenUrl availability

Full text

Cite this

@article{f5784c71ab1a418c98bd1f9580b56a79,

title = "Unconstrained functional criteria for canonical correlation analysis",

abstract = "Unconstrained and constrained optimization criteria for extracting multiple true canonical variates and canonical correlations are proposed. These include a weighted information criterion (WINC-CCA) and a shifted information criterion (SINC-CCA) for searching the optimal solutions. The gradient flows of the proposed CCA functions are analyzed and some of their convergence properties are presented. The main feature of this approach is that the actual canonical variates are automatically obtained. Based on the gradient-ascent method, many algorithms for performing the true CCA recursively are provided.",

author = "Hasan, {Mohammed A.}",

year = "2005",

doi = "10.1109/ISCAS.2005.1465088",

language = "English (US)",

pages = "2317--2320",

journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

issn = "0271-4310",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 ; Conference date: 23-05-2005 Through 26-05-2005",

}

TY - JOUR

T1 - Unconstrained functional criteria for canonical correlation analysis

AU - Hasan, Mohammed A.

PY - 2005

Y1 - 2005

N2 - Unconstrained and constrained optimization criteria for extracting multiple true canonical variates and canonical correlations are proposed. These include a weighted information criterion (WINC-CCA) and a shifted information criterion (SINC-CCA) for searching the optimal solutions. The gradient flows of the proposed CCA functions are analyzed and some of their convergence properties are presented. The main feature of this approach is that the actual canonical variates are automatically obtained. Based on the gradient-ascent method, many algorithms for performing the true CCA recursively are provided.

AB - Unconstrained and constrained optimization criteria for extracting multiple true canonical variates and canonical correlations are proposed. These include a weighted information criterion (WINC-CCA) and a shifted information criterion (SINC-CCA) for searching the optimal solutions. The gradient flows of the proposed CCA functions are analyzed and some of their convergence properties are presented. The main feature of this approach is that the actual canonical variates are automatically obtained. Based on the gradient-ascent method, many algorithms for performing the true CCA recursively are provided.

UR - http://www.scopus.com/inward/record.url?scp=67649126692&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=67649126692&partnerID=8YFLogxK

U2 - 10.1109/ISCAS.2005.1465088

DO - 10.1109/ISCAS.2005.1465088

M3 - Conference article

AN - SCOPUS:67649126692

SN - 0271-4310

SP - 2317

EP - 2320

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

M1 - 1465088

T2 - IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005

Y2 - 23 May 2005 through 26 May 2005

ER -

Unconstrained functional criteria for canonical correlation analysis

Abstract

Access

OpenUrl availability

Other files and links

Fingerprint

Cite this