We present a computer vision system for object recognition, which is integrated in an augmented reality setup. The system can be trained online to recognize objects in an intuitive way. The augmented reality gear allows interaction using hand gestures for the control of displayed “virtual menus.” The underlying neural recognition system combines feature extraction and classification. Its three-...

Although the intuitive idea of robustness is simple and appealing some key robustness concepts and measures are mathematically involved and hence difficult to grasp by students. We show how interactive graphic tools can be used to motivate and demonstrate the use of robust methods. We also show how interactive graphical tools can also be used to help understand and “visualize” main robustness c...

This paper introduces the Interactive Relational Machine Learning (iRML) paradigm in which users interactively design relational models by specifying the various components, constraints, and relational data representation, as well as perform evaluation, analyze errors, and make adjustments and refinements in a closed-loop. iRML requires fast real-time learning and inference methods capable of i...

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New sensing technologies, as RFID readers, are being incorporated into mobile devices to provide users with new interaction experiences. And, the combinations of these new technologies open up new challenging application scenarios. One of the areas that could exploit this potential is the design of interactive solutions for context-aware applications applied to learning environments. This artic...

In this paper we propose and study a generalization of the standard active-learning model where a more general type of query, class conditional query, is allowed. Such queries have been quite useful in applications, but have been lacking theoretical understanding. In this work, we characterize the power of such queries under two well-known noise models. We give nearly tight upper and lower boun...

This paper describes a recently started interdisciplinary research program aiming at investigating and modelling fundamental aspects of the language acquisition process. The working hypothesis assumes that general purpose perception and memory processes, common to both human and other mammalian species, along with the particular context of initial adult-infant interaction, underlie the infant’s...

This paper reports the results and implications for management education of an empirical study evaluating the impact of interaction among learners on their knowledge and performance in a judgmental decision making task context. The results indicate that interaction had a significant positive effect on individual learning over time. Interactive learners were found to make significantly smaller d...