Amanote Research

Amanote Research

    RegisterSign In

CNN-based Classification of Illustrator Style in Graphic Novels: Which Features Contribute Most?

EasyChair Preprints
doi 10.29007/z3f1
Full Text
Open PDF
Abstract

Available in full text

Date

October 4, 2018

Authors
Jochen LaubrockDavid Dubray
Publisher

EasyChair


Related search

Joint Demographic Features Extraction for Gender, Age and Race Classification Based on CNN

International Journal of Advanced Computer Science and Applications
Computer Science
2019English

Graphic Novels: Literature Without Text?

English Language Notes
LiteratureLiterary Theory
2008English

Sources: Graphic Novels in Your School Library

Reference and User Services Quarterly
Information SystemsLibraryInformation Sciences
2012English

Expanding Literacies Through Graphic Novels

English Journal
2006English

Sex Workers in Comics and Graphic Novels

2017English

Drawing on God: Theology in Graphic Novels

Theological Librarianship
2009English

Judging Popular Novels as Creative Products: Which Creative Attributes Contribute to Their Success?

Creativity
Visual ArtsPerforming ArtsStatisticsProbabilityHumanitiesUncertaintyArtsSocial PsychologyEducation
2019English

Instance Retrieval Using Region of Interest Based CNN Features

Journal of New Media
2019English

Image Based Road Surface Classification Method Using CNN

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy