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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 ...
Worldwide globalization increases the complexity of problem solving and decision-making, whatever the endeavor is. This calls for a more accurate and complete understanding of underlying data, processes and events. Data representations have to be as accura ...
Knowledge acquisition activities occurring may be just as critical to firm survival as pre-existing knowledge and experience, because knowledge acquisition activities enable the augmentation of existing knowledge and the exploration and pursuit of new stra ...
The present article evaluates the knowledge that can be attributed to the application of « Best Practices » in the field of urban habitat. It especially aims at identifying the conditions of innovation in such a setting, as well as defining the necessary c ...
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 ...
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 ...
In many countries and regions, traffic infrastructure projects suffer from low funding. The budget is tight for new infrastructure building and, thus, the importance of inspection, maintenance and assessment of the existing traffic infrastructure increases ...
Efficient Protocols for Set Membership and Range Proofs The goal of this master thesis was to give a major contribution in the domain of honest verifier zero-knowledge set membership and range proof. In order to do so, some investigation has been done on d ...
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial for both tasks, since it enables them to cooperate so that knowledge relevant t ...
Digital libraries are libraries in which collections are stored in a digital format (the metadata at least). Digital libraries are now being made publicly available. However, building good user interfaces to query heterogeneous libraries requires to have a ...
