Title:
A Mechanism of Visual Concept Learning via Neuronal Random Projection

dc.contributor.author Koplik, Peter Sebastian
dc.contributor.committeeMember Arriaga, Rosa I.
dc.contributor.committeeMember Vempala, Santosh S.
dc.contributor.department Computer Science
dc.date.accessioned 2019-02-12T14:42:58Z
dc.date.available 2019-02-12T14:42:58Z
dc.date.created 2018-12
dc.date.issued 2018-12
dc.date.submitted December 2018
dc.date.updated 2019-02-12T14:42:58Z
dc.description.abstract We explore the effectiveness of the random projection method, a biologically plausible, computationally efficient,and data-independentmethodofdimensionalityreductionindistinctionbetweencategoriesofvisualstimuli. We observe that a neural network tasked with approximating the original stimulus from the reduced domain generally excludes information not useful in distinguishing visual categories. This suggests that random projection may be useful in the efficient recall and recognition of visual concepts even though the projections only contain small fractions of the original information. Our findings indicate that the reconstruction of visual stimuli from the random projected domain preserves best the features most typical of that particular category of stimuli.
dc.description.degree Undergraduate
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/60887
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Random projection
dc.subject Neural network
dc.subject Concept learning
dc.title A Mechanism of Visual Concept Learning via Neuronal Random Projection
dc.type Text
dc.type.genre Undergraduate Thesis
dspace.entity.type Publication
local.contributor.corporatename College of Computing
local.contributor.corporatename School of Computer Science
local.contributor.corporatename Undergraduate Research Opportunities Program
local.relation.ispartofseries Undergraduate Research Option Theses
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isOrgUnitOfPublication 6b42174a-e0e1-40e3-a581-47bed0470a1e
relation.isOrgUnitOfPublication 0db885f5-939b-4de1-807b-f2ec73714200
relation.isSeriesOfPublication e1a827bd-cf25-4b83-ba24-70848b7036ac
thesis.degree.level Undergraduate
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