From place detection to long-term place memory

dc.contributor	Graduate Program in Electrical and Electronic Engineering.
dc.contributor.advisor	Bozma, H. Işıl.
dc.contributor.author	Demir, Mahmut.
dc.date.accessioned	2023-03-16T10:19:07Z
dc.date.available	2023-03-16T10:19:07Z
dc.date.issued	2016.
dc.identifier.other	EE 2016 D46
dc.identifier.uri	http://digitalarchive.boun.edu.tr/handle/123456789/12906
dc.description.abstract	This thesis is concerned with automated place detection and its coupling with long-term place memory. Long-term place memory is critical if a robot is to be placeaware as it stores the relevant knowledge for future referral. Place detection is closely coupled to place memory as it determines the appearances belonging to each place and thus plays a key role in regards to which knowledge gets retained in the long-term place memory. In this perspective, the contributions of the thesis are as follows: First, it introduces a novel approach to place detection based on coherent visual segments. Second, a new approach to place representation referred to as `segments summary graph' is presented. Finally, it is shown that this representation can be utilized for improving the reliability of memory association.
dc.format.extent	30 cm.
dc.publisher	Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016.
dc.subject.lcsh	Long-term memory.
dc.subject.lcsh	Memory management (Computer science)
dc.title	From place detection to long-term place memory
dc.format.pages	xiii, 60 leaves ;