The Application of Graph Kernels in Face Recognition

Qiang-rong, Jiang; Chen, Huan-jun; Liu, Bo

doi:10.1109/dicta.2012.6411714

2012 International Conference on Digital Image Computing Techniques and Applications (DICTA) 2012

DOI: 10.1109/dicta.2012.6411714

|View full text |Cite

The Application of Graph Kernels in Face Recognition

Jiang Qiang-rong¹,

Huan-jun Chen²,

Bo Liu³

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2012

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The second-and fourth-order momenta of the Rician distributed data are used in Ref. [15], while the authors of Ref. [14] proposed noise variance estimation based on two images.…”

mentioning

confidence: 99%

Temporal Correlation-Based Spatial Filtering of Rician Noise for Functional MRIs

Khaliq¹,

Qureshi²,

Shah³

2012

Chinese Phys. Lett.

View full text Add to dashboard Cite

A novel correlation-based filter is presented for de-noising functional magnetic resonance imaging (fMRI) data. Temporal correlation-based exponential weights are defined for spatial smoothing of the data, with bias reduction using estimated noise variance. The proposed scheme is tested on simulated and real fMRI data. Finally, the results are compared with conventional filters. The method is found to be effectively suppressing the Rician noise in fMRI data, while improving the SNR.

show abstract

“…The second-and fourth-order momenta of the Rician distributed data are used in Ref. [15], while the authors of Ref. [14] proposed noise variance estimation based on two images.…”

mentioning

confidence: 99%

Temporal Correlation-Based Spatial Filtering of Rician Noise for Functional MRIs

Khaliq¹,

Qureshi²,

Shah³

2012

Chinese Phys. Lett.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

The Application of Graph Kernels in Face Recognition

Cited by 1 publication

References 12 publications

Temporal Correlation-Based Spatial Filtering of Rician Noise for Functional MRIs

Temporal Correlation-Based Spatial Filtering of Rician Noise for Functional MRIs

Contact Info

Product

Resources

About