The core focus of WP4 is the formalization of Object Action Complexes (OACs). As part of WP4.2 this deliverable reports on the development of representational systems for Object-Action Complexes that integrate sensory attributes and action attributes acquired from various types of active behaviors, e.g., oculomotor, grasping, moving, and approaching behaviors. This deliverable comprises five pa...

This paper presents an automatic tool capable to learn from a patients data set with 24 medical indicators characterizing each sample and to subsequently use the acquired knowledge to differentiate between five degrees of liver fibrosis. The indicators represent clinical observations and the liver stiffness provided by the new, non-invasive procedure of Fibroscan. The proposed technique combine...

The infrared thermography (thermal imaging) is considered a flexible, non-contact, and non-destructive tool used to evaluate wide variety of coating attributes (e.g. appearance and protective attributes). This paper addresses the application of thermographic systems in evaluating the protective-coating coverage over steel substrates in two different painting industries. First case is the inspec...

We show that a model for drought stress level classification of tobacco leaves can be learned from measurement data. The data was acquired using a sheet-of-light measurement system developed at the Fraunhofer Institute for Integrated Circuits IIS. Spatial attributes like length, width or bending were extracted by fitting a parameterized leaf model to the measurement data. The attributes were tr...

Traditionally, reliable multicast protocols are deterministic in nature. It is precisely this determinism which tends to become their limiting factor when aiming at reliability and scalability, particularly in highly dynamic networks, e.g., ad hoc networks. In multicast communication, many reliable multicast schemes were studied in order to overcome packet losses in the network. This paper desc...

In this paper, we describe the Adaptive Place Advisor, a conversational recommendation system designed to help users decide on a destination. We view the selection of destinations as an interactive, conversational process, with the advisory system inquiring about desired item characteristics and the human responding. The user model, which contains preferences regarding items, attributes, values...

Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly detection to the problem of identifying anomalous patterns on a subset of attributes in the data. The anomaly always depends (is conditioned) on the value of remaining attributes. The work presented in this paper focuses...

Spatiotemporal variations in attributes of particulate matter (PM) in ambient air are important estimates of environmental pollution and public health risks. In particularly, the exposure to fine PM, with count mean diameters of less than 4μm, has been associated with undesirable health effects. Therefore, methodologies that analyze the size profiles of fine PM in ambient air segments at ground...

Comprehension and/or production of noun phrases and sentences requires the selection of lexical-syntactic attributes of nouns. These lexical-syntactic attributes include grammatical gender (masculine/feminine/neuter), number (singular/plural) and countability (mass/count). While there has been considerable discussion regarding gender and number, relatively little attention has focused on counta...

This paper proposes a complete framework consisting pre-processing, modeling, and postprocessing stages to carry out well tops guided prediction of a reservoir property (sand fraction) from three seismic attributes (seismic impedance, instantaneous amplitude, and instantaneous frequency) using the concept of modular artificial neural network (MANN). The dataset used in this study comprising thr...