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Action recognition in generalized zero-shot learning setting using the conditional generative adversarial network (Record no. 1422)

MARC details
000 -LEADER
fixed length control field	03004nas a2200409 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20260817161452.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	210308s2020 th a r m 000 eng d
035 ## - SYSTEM CONTROL NUMBER
System control number	.b12366134
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number	AIT RSPR no.CS-20-01
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name	Tirumalasetty, Gayatri
245 10 - TITLE STATEMENT
Title	Action recognition in generalized zero-shot learning setting using the conditional generative adversarial network
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc.	Pathum Thani, Thailand :
Name of publisher, distributor, etc.	Asian Institute of Technology,
Date of publication, distribution, etc.	2020
300 ## - PHYSICAL DESCRIPTION
Extent	37 leaves :
Other physical details	ill.
490 1# - SERIES STATEMENT
Series statement	Research studies project report ;
Volume/sequential designation	no.
500 ## - GENERAL NOTE
General note	A research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology
502 ## - DISSERTATION NOTE
Dissertation note	Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2020
520 ## - SUMMARY, ETC.
Summary, etc.	Human action recognition is an interesting area of research which has found applications in security surveillance systems, robotics, human-computer interaction and so on. Human actions can be classified into usual (mundane) events and unusual (peculiar) events. The traditional supervised learning models that discriminate between classes are helpful in clas sifying mundane actions of which the data is available during training. But in case of unusual events, we do not generally possess the example data during training. This now becomes a problem of zero-shot learning. In this study, I explore generative models to produce in stances of peculiar action events with the help of semantic meaning related to the action classes. The data from different places at AIT has been combined with benchmark UCF101 dataset to carry out the experiment. I have achieved an accuracy of 96.7% on the usual event classification and 60.94% on unusual event classification tasks during test time.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element	Machine learning
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	Dailey, Mathew N.,
Relator term	Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	Phan, Minh Dung,
Relator term	Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name	Chutiporn Anutariya,
Relator term	Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element	AIT Fellowship,
Relator term	Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element	Asian Institute of Technology.
Title of a work	Research studies project report ;
Volume/sequential designation	no.
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified	Full-Text
Uniform Resource Identifier	<a href="http://203.159.5.9/ait-thesis/detail.php?q=B11696">http://203.159.5.9/ait-thesis/detail.php?q=B11696</a>
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l	mnait
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Koha item type	40-Archives
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type	20-AIT Publication
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Barcode	Barcode : 3005012090005
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Holdings
Not for loan	Home library	Current library	Shelving location	Date acquired	Full call number	Barcode	Date last seen	Copy number	Price effective from	Koha item type	Cost, normal purchase price
Available for Loans	Asian Institute of Technology Library	Asian Institute of Technology Library	Archives	17/08/2026	AIT RSPR no.CS-20-01	3005012090005	17/08/2026	1	17/08/2026	40-Archives
Available for Loans	Asian Institute of Technology Library	Asian Institute of Technology Library	AIT Publications	17/08/2026	AIT RSPR no.CS-20-01	30050120426258	17/08/2026	1	17/08/2026	20-AIT Publication	50.00
Available for Loans	Asian Institute of Technology Library	Asian Institute of Technology Library	AIT Publications	17/08/2026	AIT RSPR no.CS-20-01	30050120426241	17/08/2026	2	17/08/2026	20-AIT Publication	50.00

Action recognition in generalized zero-shot learning setting using the conditional generative adversarial network (Record no. 1422)

AIT

Asian Institute of Technology Library