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This paper presents the Weight-Watcher service. This service aims at providing resource consumption measurements and estimations for software executing on resource constrained devices. By using the Weight-Watcher, software components can continuously adapt ...
Modern embedded systems have to run new dynamic wireless network and multimedia applications. As a result, these systems must provide run-time memory management support to allow real-time memory de/allocation, retrieving and processing of data while very l ...
A vital task in sports video annotation is to detect and segment areas of the playfield. This is an important first step in player or ball tracking and detecting the location of the play on the playfield. In this paper we present a technique using statisti ...
The behavior of many algorithms is heavily determined by the input data. Furthermore, this often means that multiple and completely different execution paths can be followed, also internal data usage and handling is frequently quite different. Therefore, s ...
In this paper an Iterative Learning Control (ILC) algorithm is proposed for a certain class of Linear Parameter Varying (LPV) systems whose dynamics change between iterations. Consistency of the algorithm in the presence of stochastic disturbances is shown ...
The $40 “Wiimote” (an input device belonging with the Nintendo® Wii™ game system) can be used by hydrologists as a sensor. The device contains three accelerometers and an infrared camera with built-in source tracking. It communicates by Bluetooth®. Because ...
We present the Intelligent Application Oriented System (IANOS) resource broker models and internals. The aim of IANOS is to provide an understanding of and a solution to the problem of how to find the best resource for a given submitted application in orde ...
Flexural and torsional rigidity are important properties of skis. However, the flexural and torsional rigidity that lead to optimal performance remain to be established. In the present study, four pairs of slalom skis that differed in flexural and torsiona ...
The performance of machine learning algorithms has steadily improved over the past few years, such as MLP or more recently SVM. In this paper, we compare two successful discriminant machine learning algorithms apply to the problem of face verification: MLP ...
The performance of machine learning algorithms has steadily improved over the past few years, such as MLP or more recently SVM. In this paper, we compare two successful discriminant machine learning algorithms apply to the problem of face verification: MLP ...