Generalized Skipgrams for Pattern Discovery in Polyphonic Streams
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Top-k query processing is a fundamental building block for efficient ranking in a large number of applications. Efficiency is a central issue, especially for distributed settings, when the data is spread across different nodes in a network. This paper intr ...
A method that exploits an information theoretic framework to extract optimized audio features using video information is presented. A simple measure of mutual information (MI) between the resulting audio and video features allows the detection of the activ ...
In the framework of process optimization, the use of measurements to compensate the effect of uncertainty has become an active area of research. One of the ideas therein is to enforce optimality by tracking the necessary conditions of optimality (NCO track ...
Just about every other technical publication you pick up these days makes sweeping statements concerning the pressures on scientists, engineers, and industries as a whole to get to market in less time, with an improved, less expensive product. I am reminde ...
Uncertainty Feature Optimization is a framework to cope with optimization problems due to noisy data, using an implicit characterazation of the noise. The Aircraft Scheduling Problem (ASP) is a particular case of such problems, where disruptions randomly p ...
Repeated failures as well as difficulties related to the implementation of new hydroelectric powerplants in industrialized countries illustrate the paradigm evolution which manages relationship between human society and nature. Problems resulting from thes ...
In this paper, we present an application to the Airline Scheduling Problem (ASP) of the Uncertainty Feature Optimization (UFO) framework which combines both a proactive scheduling algorithm and a reactive recovery algorithm used for re-optimization when di ...
In this paper, we present an application to the Airline Scheduling Problem (ASP) of the Uncertainty Feature Optimization (UFO) framework which combines both a proactive scheduling algorithm and a reactive recovery algorithm used for re-optimization when di ...
In the framework of process optimization, the use of measurements to compensate the effect of uncertainty has re-emerged as an active area of research. One of the ideas therein is to adapt the inputs in order to track the active constraints and push certai ...