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A robusttting and reconstruction algorithm has to cope with two major problems. First of all it has to be able to deal with noisy inputdata and outliers. Furthermore it should be capable of h...
We consider the problem of determining optimal wire widths for a power or ground network, subject to limits on wire widths, voltage drops, total wire area, current density, and power dissipation. To a...
This paper concerns power control in lognormal fading wireless channels with correlated interference. We consider an outage-based quality of service (QoS) specification, which requires the uptime prob...
The optimal solution of a geometric program (GP) can be sensitive to variations in the problem data. Robust geometric programming can systematically alleviate the sensitivity problem by explicitly inc...
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require iterative minimization ...
The objective of this note is to show how one can combine Polynomial Chaos Expansions(PCE) and adjoint theory to efficiently obtain sensitivities for robust optimal control. A non-intrusive PCE m...
Through their motion, proteins perform essential functions in the living cell. Although we cannot observe protein motion directly, over 68,000 crystal structures are freely available from the Protein ...
In this thesis, we consider instances of component failure in the Internet and in networked cyber-physical systems, such as the communication network used by the modern electric power grid (termed the...
The task of robustly detecting distant speech in low SNR environments for automatic speech recognition is examined using a two-stage approach based on two distinguishing features of speech, namely har...
This paper investigates the problem of speaker identification and verification in noisy conditions, assuming that speech signals are corrupted by environmental noise, but knowledge about the noise cha...
We present a novel mean shift approach in this paper forrobust object tracking based on an inertial potential model.Conventional mean shift based trackers exploit only appear-ance information of obser...
Image authentication is usually approached by checking the preservation of some invariant features, which are expected to be both robust and discriminative so that contentpreserving operations are acc...
A large amount of videos on the Internet are generated from authorized sources by various kinds of transformations. Many works are proposed for robustdescription of video, which lead to satisfying ma...
This paper presents a Least Absolute Value (LAV) state estimator for power system using a new method called Recursive Least Squares (RLS). Also, a suitable model is used for state estimation of power ...
并行处理的研究在数据挖掘中是十分必要的。在理论分析的基础上,提出在对经典串行PAM算法进行并行时应如何从局部聚类信息生成完备的全局聚类信息,据此提出了算法DPAM,在提高计算性能的同时,使聚类质量等价于相应串行PAM算法。为提高并行算法的执行效率,还介绍了如何减小计算结点间通信的代价。最后对提出的算法进行性能分析和实验,说明该算法是高效可行的。

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