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Two Stream Deep CNN-RNN Attentive Pooling Architecture for Video Based Person Re-Identification (Record no. 533422)

000 -LEADER
fixed length control field	00605nam a22001697a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Qualifying information	Hard Cover.
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number	005
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name	Ansar, wajeeha
245 ## - TITLE STATEMENT
Title	Two Stream Deep CNN-RNN Attentive Pooling Architecture for Video Based Person Re-Identification
Statement of responsibility, etc.	Wajeeha Ansar.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc.	Islamabad:
Name of publisher, distributor, etc.	SEECS - NUST,
Date of publication, distribution, etc.	2018.
300 ## - PHYSICAL DESCRIPTION
Extent	52 p. :
Other physical details	ill. ;
Dimensions	30cm.
Accompanying material	+CD
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element	Computer Science MS-Thesis.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name	Dr. Arsalan Ahmad
856 ## - Uniform Resource Identifier
Uniform Resource Identifier	<a href="http://10.250.8.41:8080/xmlui/handle/123456789/13785">http://10.250.8.41:8080/xmlui/handle/123456789/13785</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type	Thesis
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
--	16114
700 ## - ADDED ENTRY--PERSONAL NAME
--	21794

Holdings
Withdrawn status	Lost status	Source of classification or shelving scheme	Damaged status	Not for loan	Permanent Location	Current Location	Shelving location	Date acquired	Total Checkouts	Full call number	Barcode	Date last seen	Price effective from	Koha item type
					Central Library (CL)	Central Library (CL)	Thesis	01/01/2020		005	CL-T-4456	01/01/2020	01/01/2020	Thesis

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