Active perception refers to a theoretical approach grounded on the idea that perception is an active process in which the actions performed by the agent play a constitutive role. In this paper we present two different ...

We present Uberon, an integrated cross-species ontology consisting of over 6,500 classes representing a variety of anatomical entities, organized according to traditional anatomical classification criteria. The ontology ...

Bayesian networks are a useful tool in the representation of uncertain knowledge. This paper proposes a new algorithm to learn the structure of a Bayesian network. It does this by conducting a search through the space of ...

Abstract—This paper proposes a novel scheme to virtually restore the colors of ancient murals. Our approach integrates artificial intelligence techniques with digital image processing methods. The knowledge related to the ...

Facial behaviour of deception has emerged as an important topic in surveillance research. In this paper, we evaluate the facial behaviour of deception based on some of the cues identified in the literature. First, we present ...

In mammography, the reliable estimation of the volume of glandular tissue can lead to improvements in mean glandular dose calculations and mammographic risk assessment. Using the hint model, this paper presents a novel ...

Due to the explosive growth of electronically stored information, automatic methods must be developed to aid users in maintaining and using this abundance of information effectively. In particular, the sheer volume of ...

As research projects grow in size, there is a tendency for the number of management tasks to increase even faster. There are many different data objects and relations which need to be managed as part of the whole project: ...

In view of the increasing need to facilitate processing the content of scientific papers, we present an annotation scheme for annotating full papers with zones of conceptualisation, reflecting the information structure and ...