Discrepancy between CT and PET data due to motion in PET/CT studies is a significant problem. PET is acquired over a period of time whereas CT is static. Thus attenuation correcti...
As opposed to traditional supervised learning, multiple-instance learning concerns the problem of classifying a bag of instances, given bags that are labeled by a teacher as being...
Abstract. Lua is a scripting language used in many industrial applications, with an emphasis on embedded systems and games. Two key points in the design of the language that led to...
This paper presents a maximum likelihood (ML) framework for multimicrophone sound source localization (SSL). Besides deriving the framework, we focus on making the connection and ...
Abstract. This paper proposes a generic extension to propositional rule learners to handle multiple-instance data. In a multiple-instance representation, each learning example is r...