Exploring geometric constraints for learning representations for visual data

dc.contributor.guide	Anand, Saket
dc.coverage.spatial	Electronics and Communicaion Engineering
dc.creator.researcher	Shukla, Ankita
dc.date.accessioned	2020-12-14T09:34:03Z
dc.date.available	2020-12-14T09:34:03Z
dc.date.completed	2020
dc.description.abstract	file attached
dc.description.note	references p.167-191
dc.format.accompanyingmaterial	None
dc.format.dimensions	-
dc.format.extent	191 p.
dc.identifier.uri	http://hdl.handle.net/10603/308937
dc.language	English
dc.publisher.institution	Electronics and Communication Engineering
dc.publisher.place	Delhi
dc.publisher.university	Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi)
dc.relation	no. of references 192
dc.rights	university
dc.source.inflibnet	INFLIBNET
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Electrical and Electronic
dc.subject.keyword	Grassmann manifold
dc.subject.keyword	Optical data processing
dc.subject.keyword	Representation learning
dc.subject.keyword	Statistical manifold
dc.subject.keyword	Stiefel manifold
dc.subject.keyword	Visual animal biometrics
dc.subject.keyword	Visual data representation
dc.title	Exploring geometric constraints for learning representations for visual data
dc.title.alternative	-
dc.type.degree	Ph.D.