Similarity-based Acquisition of Spatial Categories

Contents

A very natural approach to categorization is similarity-based clustering. We propose a visual representation which can be used with such a mechanism for the acquisition of spatial relation categories. We also show how supervision can be helpful in cases where basic similarity is low by proposing a learning mechanism which operates both in the presence and in the absence of words.