About: Efficient inference of spatial hierarchical models

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The long term goal of artificial intelligence and computer vision is to be able to build models of the world automatically and to use them for interpretation of new situations. It is natural that such models are efficiently organized in a hierarchical manner; a model is build by sub-models, these sub-models are again build of another models, and so on. These building blocks are usually shareable; different objects may consist of the same components. In this paper, we describe a hierarchical probabilistic model for visual domain and propose a method for its efficient inference based on data partitioning and dynamic programming. We show the behaviour of the model, which is in this case made manually, and inference method on a controlled yet challenging dataset consisting of rotated, scaled and occluded letters. The experiments show that the proposed model is robust to all above-mentioned aspects. The long term goal of artificial intelligence and computer vision is to be able to build models of the world automatically and to use them for interpretation of new situations. It is natural that such models are efficiently organized in a hierarchical manner; a model is build by sub-models, these sub-models are again build of another models, and so on. These building blocks are usually shareable; different objects may consist of the same components. In this paper, we describe a hierarchical probabilistic model for visual domain and propose a method for its efficient inference based on data partitioning and dynamic programming. We show the behaviour of the model, which is in this case made manually, and inference method on a controlled yet challenging dataset consisting of rotated, scaled and occluded letters. The experiments show that the proposed model is robust to all above-mentioned aspects. (en)
Title	Efficient inference of spatial hierarchical models Efficient inference of spatial hierarchical models (en)
skos:prefLabel	Efficient inference of spatial hierarchical models Efficient inference of spatial hierarchical models (en)
skos:notation	RIV/68407700:21230/14:00217906!RIV15-GA0-21230___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GAP103/12/1578)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Mačák, Jan Drbohlav, Ondřej
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	13863
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/14:00217906
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	graphical models; inference (en)
http://linked.open.../riv/klicoveSlovo	inference graphical models
http://linked.open...ontrolniKodProRIV	[3C20588EFF46]
http://linked.open...v/mistoKonaniAkce	Lisabon
http://linked.open...i/riv/mistoVydani	Porto
http://linked.open...i/riv/nazevZdroje	VISAPP '14: Proceedings of the 9th International Conference on Computer Vision Theory and Applications
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Structural and Semantic Modeling of Architecture as a Digital Image Interpretation Problem
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Drbohlav, Ondřej Mačák, Jan
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-01-05 (xsd:date)
number of pages	7 (xsd:int)
http://purl.org/ne...btex#hasPublisher	SciTePress - Science and Technology Publications
https://schema.org/isbn	978-989-758-003-1
http://localhost/t...ganizacniJednotka	21230

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