NUST Institutions Library Catalogue catalog › Details for: Unsupervised Video Object Segmentation using Conditional Random Fields /

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Unsupervised Video Object Segmentation using Conditional Random Fields /

By: Asma Hamza Bhatti Material type: Text

TextPublisher: Islamabad NUST-SEECS 2016Description: 43p. 27cm. CD IncludesDDC classification: MSCS-4 HAM Online resources: Click here to access online

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Item type	Current location	Home library	Collection	Shelving location	Call number	Status	Date due	Barcode	Item holds
Thesis	Central Library (CL)	Central Library (CL)		Thesis	005 MSCS-4 HAM (Browse shelf)	Available		CL-T-4433
Project Report	Central Library (CL)	Central Library (CL)	NFIC	General Stacks	MSCS-4 HAM (Browse shelf)	Available		SEECSP01832

Total holds: 0

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Previous	MSCS-4 BUT Audiovisual saliency model for complex scenes	MSCS-4 FAR Security in telesurgical systems	MSCS-4 HAF Multivariate visualization of geographical data	MSCS-4 HAM Unsupervised Video Object Segmentation using Conditional Random Fields /	MSCS-4 IAR Biometrics using complex eye movements /	MSCS-4 TAR Fish species identification in unconstrained underwater environment	MSCS-4 UMA Eyereporter: A mobile platform for efficent Non-Linear media editing and reporting	Next

Supervisors: Dr. Asad Anwar Butt, Dr. Anis ur Rahman, Dr. Omar Arif, Dr. Muhammad Moazam Fraz

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