Bayesian data fusion and credit assignment in vision and fMRI data analysis

Paul R. Schrater

doi:10.1117/12.487986

1 July 2003 Bayesian data fusion and credit assignment in vision and fMRI data analysis

Paul R. Schrater

Proceedings Volume 5016, Computational Imaging; (2003) https://doi.org/10.1117/12.487986
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

One of the most important challenges in understanding expert perception is in determining what information in a complex scene is most valuable (reliable) for a particular task, and how experts learn to exploit it. For the task of parameter estimation given multiple independent sources of data, Bayesian data fusion provides a solution to this problem that involves promoting data to a common parameter space and combining cues weighted by their reliabilities. However, for classification tasks this approach needs to be modified to find the information that most reliably distinguishes between the categories. In this paper we discuss solutions to the problem of determining the task-dependent reliability of data sources both objectively for a Bayesian decision agent, and in terms of the reliability assigned by a human observer from the performance of the observer. Modeling observers as Bayesian decision agents, solutions can be construed as a process of assigning credit to data sources based on their contribution to task performance. Applications of this approach to human perceptual data and the analysis of fMRI data will be presented.

Citation Download Citation

Paul R. Schrater "Bayesian data fusion and credit assignment in vision and fMRI data analysis", Proc. SPIE 5016, Computational Imaging, (1 July 2003); https://doi.org/10.1117/12.487986

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available