Purpose – The paper provides a theory base for deriving connotative descriptors for photographs from existing denotative descriptors, and then demonstrates a model for enhancing browsing within image collections by providing a tool for carving up the searching space....

Gradient-based approaches to direct policy search in reinforcement learning have received much recent attention as a means to solve problems of partial observability and to avoid some of the problems associated with policy degradation in value-function methods. In this paper we introduce GPOMDP,...

This paper investigates the use, for the task of classifier learning in the presence of misclassification costs, of some gradient descent style leveraging approaches to classifier learning: Schapire and Singer's AdaBoost.MH and AdaBoost.MR [16], and Collins et al's multi-class logistic...

Purpose – This paper aims to present a novel localization scheme using infrared light reflecting artificial landmarks. Design/methodology/approach – By putting the infrared light reflecting landmarks on the ceiling, localization is achieved. The landmark is designed for effective recognition...