Age Estimation and Age Invariant Face Recognition System using Dynamic Multi Task Feature Fusion Convolutional Neural Networks

dc.contributor.guide	Srinivas K and Ravisankar H
dc.coverage.spatial
dc.creator.researcher	Rajababu Makineedi
dc.date.accessioned	2025-01-13T08:21:08Z
dc.date.available	2025-01-13T08:21:08Z
dc.date.awarded	2024
dc.date.completed	2024
dc.date.registered	2012
dc.description.abstract	Attached
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent	114pp.
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/614551
dc.language	English
dc.publisher.institution	Faculty of Computer Science and Engineering
dc.publisher.place	Kukatpally
dc.publisher.university	Jawaharlal Nehru Technological University, Hyderabad
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	CNN based Age estimation
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Software Engineering
dc.subject.keyword	Convolutional Neural Networks
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Face Recognition
dc.subject.keyword	Image analysis
dc.subject.keyword	Parallel research
dc.subject.keyword	Statistical texture features (STF)
dc.title	Age Estimation and Age Invariant Face Recognition System using Dynamic Multi Task Feature Fusion Convolutional Neural Networks
dc.title.alternative
dc.type.degree	Ph.D.