Multisource information theory in Shannon setting is well known. In this article we try to develop its algorithmic information theory counterpart and use it as the general framework for many interesting questions about Kolmogorov complexity.

In order to apply a statistical approach to the classification of multisource remote-sensing data, one of the main problems to face lies in the estimation of probability distribution functions. This problem arises out of the difficulty of defining a common statistical model for such heterogeneous data. A possible solution is to adopt nonparametric approaches, which rely on the availability of t...

Multisource information theory in Shannon setting is well known. In this article we try to develop its algorithmic information theory counterpart and use it as the general framework for many interesting questions about Kolmogorov complexity.

The handling of situations where multiple visual information occurs requires the fusion of visual information. This is a very common task found in the processing of multisource / multitemporal datasets, in sensor fusion, and in all kinds of active vision systems. A general approach to this problem is presented which goes beyond previous information theoretic investigations. Starting from the pa...

BACKGROUND Efforts to improve patients' understanding of their own medical treatments or research in which they are involved are progressing, especially with regard to informed consent procedures. We aimed to design a multisource informed consent procedure that is easily adaptable to both clinical and research applications, and to evaluate its effectiveness in terms of understanding and awarene...

In this paper, we present a multisource ASR system to detect home automation orders in various everyday listening conditions in a realistic home. The system is based on a state of the art noise cancellation stage that feeds recently introduced ASR techniques. The evaluation was conducted on a realistic noisy dataset acquired in a smart home where a microphone was placed near the noise source an...

A system for a regular updating of land-cover maps is proposed that is based on the use of multitemporal remote sensing images. Such a system is able to address the updating problem under the realistic but critical constraint that, for the image to be classified (i.e., the most recent of the considered multitemporal dataset) no ground truth information is available. The system is composed of an...

BACKGROUND This study aims to evaluate the outpatient communication skills of medical students via multisource feedback, which may be useful to map future directions in improving physician-patient communication. METHODS Family respondents of patients, a nurse, a clinical teacher, and a research assistant evaluated video-recorded medical students' interactions with outpatients by using multiso...