Structural inference of sensor-based measurements

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Structural inference of sensor-based measurements

Conference Paper (2006)

Author(s)

RPW Duin (TU Delft - Multimedia Computing)

EM Pekalska (TU Delft - Multimedia Computing)

Research Group

Multimedia Computing

CWTS 0.75 <= JFIS < 2.00 Techniek Conference contrib. refereed Wiskunde en Informatica Technische Wiskunde en Informatica

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https://resolver.tudelft.nl/uuid:0a4aa66b-b446-4cb0-87b8-8e8977ab327a

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Publication Year

2006

Research Group

Multimedia Computing

Pages (from-to)

41-55

Publisher

Springer

ISBN (print)

3-540-37236-9

Event

Joint IAPR International Workshops SSPR 2006 and SPR 2006, Hong Kong, China (2006-08-17 - 2006-08-19), Heidelberg

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Abstract

Statisticalinferenceofsensor-basedmeasurementsisintensivelystudiedinpatternrecognition.Itisusuallybasedonfeaturerepresentationsoftheobjectstoberecognized.Suchrepresentations,however,neglecttheobjectstructure.Structuralpatternrecognition,onthecontrary,focussesonencodingtheobjectstructure.Asgeneralproceduresarestillweaklydeveloped,suchobjectdescriptionsareoftenapplicationdependent.Thishamperstheusageofagenerallearningapproach.
Thispaperaimstosummarizetheproblemsandpossibilitiesofgeneralstructuralinferenceapproachesforthefamilyofsensor-basedmeasurements:images,spectraandtimesignals,assumingacontinuitybetweenmeasurementsamples.Inparticularitwillbediscussedwhenprobabilisticassumptionsareneeded,leadingtoastatistically-basedinferenceofthestructure,andwhenapure,non-probabilisticstructuralinferenceschememaybepossible.

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