---
title: "Inferring Image Templates from Classification Decisions"
authors:
  - "Arnab Dhua"
  - "Florin Cutzu"
doi: ""
url: "https://ijcai.org/proceedings/2005/183"
pdf: "https://ijcai.org/proceedings/2005/0183.pdf"
venue: "Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence"
year: 2005
pages: "1446-1450"
track: ""
keywords:
---

# Inferring Image Templates from Classification Decisions

Arnab Dhua, Florin Cutzu

*Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence*, pages 1446-1450.

## Abstract

Assuming human image classification decisions are based on estimating the degree of match between a small number of stored internal templates and certain regions of the input images, we present an algorithm which infers observers classification templates from their classification decisions on a set of test images. The problem is formulated as learning prototypes from labeled data under an adjustable, prototype-specific elliptical metric. The matrix of the elliptical metric indicates the pixels that the template responds to. The model was applied to human psychophysical data collected in a simple image classification experiment.