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Reseach Article

Learning Context Determination based on Relevance Feedback for Memory Recall

by Bela Joglekar, Parag Kulkarni
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 9
Year of Publication: 2012
Authors: Bela Joglekar, Parag Kulkarni
10.5120/6938-9308

Bela Joglekar, Parag Kulkarni . Learning Context Determination based on Relevance Feedback for Memory Recall. International Journal of Computer Applications. 46, 9 ( May 2012), 23-27. DOI=10.5120/6938-9308

@article{ 10.5120/6938-9308,
author = { Bela Joglekar, Parag Kulkarni },
title = { Learning Context Determination based on Relevance Feedback for Memory Recall },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 9 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 23-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number9/6938-9308/ },
doi = { 10.5120/6938-9308 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:39:19.245276+05:30
%A Bela Joglekar
%A Parag Kulkarni
%T Learning Context Determination based on Relevance Feedback for Memory Recall
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 9
%P 23-27
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The brain continuously receives information through various stimuli and processes this information through cognition. Patients suffering from short term memory loss (e. g. in Parkinson's disease, seizures or epileptic attacks), lose a short episode of memory. The originality of the research lies in retrieving back any lost cognition due to damage/disease by presenting context-specific sequence of images to the subject under study. The approach proposes mapping the lost memory episode to a corresponding set of stored ranked images which can help regain memory loss. A framework is presented for implementation of context determination through relevance feedback. A comprehensive overview and analysis of existing techniques is also presented for context based retrieval of images.

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Index Terms

Computer Science
Information Sciences

Keywords

Context Content Relevance Feedback Image Ranking