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 editors: Braithwaite, Billy
eISBN: 978-951-39-8467-0
Journal or series: JYU dissertations
eISSN: 2489-9003
Publication year: 2020
Number in series: 340
Number of pages in the book: 132
Publisher: Jyväskylän yliopisto
Place of Publication: Jyväskylä
Publication country: Finland
Publication language: English
Persistent website address: http://urn.fi/URN:ISBN:978-951-39-8467-0
Publication open access: Openly available
Publication channel open access: Open 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.
Keywords: neural networks (information technology); artificial intelligence; computer vision; neural computation; inverse problems
Free keywords: algorithms; artificial intelligence; inverse problems; scientific computing
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2020