G4 Doctoral dissertation (monograph)
Neurocomputing and probabilistic propagation in computer vision (2020)


Braithwaite, B. (2020). Neurocomputing and probabilistic propagation in computer vision [Doctoral dissertation]. Jyväskylän yliopisto. JYU dissertations, 340. http://urn.fi/URN:ISBN:978-951-39-8467-0


JYU authors or editors


Publication details

All authors or editorsBraithwaite, Billy

eISBN978-951-39-8467-0

Journal or seriesJYU dissertations

eISSN2489-9003

Publication year2020

Number in series340

Number of pages in the book132

PublisherJyväskylän yliopisto

Place of PublicationJyväskylä

Publication countryFinland

Publication languageEnglish

Persistent website addresshttp://urn.fi/URN:ISBN:978-951-39-8467-0

Publication open accessOpenly available

Publication channel open accessOpen Access channel


Abstract

One of the earliest (also well-studied) research areas in artificial intelligence is the study of visual perception, and the study of neurons of the brain using connectivist models or neurocomputing. Where cognitive and mathematical psychology, and neuroscience studied how the brain and perception works in their own paradigms, artificial intelligence provided tools from theoretical and applied computer science to study the aforementioned areas using digital computers. This study focuses on examining two sides of neurocomputing, namely probabilistic graphical models and artificial neural networks in solving early perception, or early vision and inference tasks. More specifically, the study examines probabilistic propagation such as denoising tasks under similarity measures and parallelization schemes. And finally, combining probabilistic graphical models and artificial neural networks into a pipeline model for solving inference tasks from a set of imaging measurements.


Keywordsneural networks (information technology)artificial intelligencecomputer visionneural computationinverse problems

Free keywordsalgorithms; artificial intelligence; inverse problems; scientific computing


Contributing organizations


Ministry reportingYes

Reporting Year2020


Last updated on 2024-11-03 at 14:28