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Facial expressions are probably the most visual method to convey emotions and one of the most powerful means to relate to each other. A typical automatic system for the recognition of facial expressions is based on a representation of the expression, learn ...
This document refers to the relevance of IP in the knowledge economy, explaining the importance of the rapid dissemination of new and superior knowledge. However, we point out that rapid dissemination can be the enemy of innovation. In this context, we exp ...
The revolution in information technology transforms not only information and its uses but, more important, knowledge and the ways we generate and manage it. Knowledge is now seen as input, output, and capital, even if imperfectly accounted for or understoo ...
This paper presents an SVM--based algorithm for the transfer of knowledge across robot platforms aiming to perform the same task. Our method exploits efficiently the transferred knowledge while updating incrementally the internal representation as new inf ...
Pour que l’Intelligence collective soit pleinement efficiente, la reconnaissance individuelle dans le groupe doit être privilégiée. En effet, l’Intelligence collective qui a pour fin ultime, la performance, dépend étroitement de la bonne coopération de l’h ...
We apply a model construction methodology to TinyOS-based networks, using the Behavior-Interaction-Priority (BIP) component framework. The methodology consists in building the model of a node as the composition of a model extracted from a nesC program desc ...
This paper presents an SVM-based algorithm for the transfer of knowledge across robot platforms aiming to perform the same task. Our method exploits efficiently the transferred knowledge while updating incrementally the internal representation as new infor ...
In this paper we present the results of an agent-based model of open innovation, which suggest the network knowledge advantage underlying open interfirm networks of innovation, as opposed to an advantage arising from the interfirm network structure. To dat ...
In silico modeling of Gene Regulatory Networks has gained a lot of attention recently as it gives a very powerful tool to experimental biologists to gather the knowledge gained from different biological experiments and understand the dynamics of the overal ...
We present a turnover based adaptive HELLO protocol (TAP), which enables nodes in mobile networks to dynamically adjust their HELLO messages frequency depending on the current speed of nodes. To the best of our knowledge, all existing solutions are based o ...
