Log in to save to my catalogue

Quantum Visual Feature Encoding Revisited

Quantum Visual Feature Encoding Revisited

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3095288294

Quantum Visual Feature Encoding Revisited

About this item

Full title

Quantum Visual Feature Encoding Revisited

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-08

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Although quantum machine learning has been introduced for a while, its applications in computer vision are still limited. This paper, therefore, revisits the quantum visual encoding strategies, the initial step in quantum machine learning. Investigating the root cause, we uncover that the existing quantum encoding design fails to ensure information...

Alternative Titles

Full title

Quantum Visual Feature Encoding Revisited

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3095288294

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3095288294

Other Identifiers

E-ISSN

2331-8422

How to access this item