Great strides have been made to encourage researchers to archive data created by research and provide the necessary systems to support their storage. Additionally it is recognised that data are meaningless unless thei...
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Given a set of n binary data points, a widely used technique is to group its features into k clusters (e.g. [7] ). In the case where n < k , the question of how overlapping are the clusters becomes of interest. In ...
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Given a set of n binary data points, a widely used technique is to group its features into k clusters (e.g. [7] ). In the case where n < k , the question of how overlapping are the clusters becomes of interest. In this paper we approach the question through matrix decomposition, and relate the degree of overlap with the sparsity of one of the resulting matrices. We present analytical results regarding bounds on this sparsity, and a heuristic to estimate the minimum amount of overlap that an exact grouping of features into k clusters must have. As shown below, adding new data will not alter this minimum amount of overlap.
This paper presents a physical model-based methodfor recovering and tracking nonrigid morion of elastic objects. The prap&ed method recovers the motion in terms of actrial physicalparameters (Young's modulus) ...
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We describe an application of probabilistic modeling to the problem of recognizing radio galaxies with a bent- double morphology. The type of galaxies in question contain distinctive signatures of geometric shape and ...
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The success of nonrigid motion analysis using physical finite element model is dependent on the mesh that characterizes the object's geometric structure. We suggest a deformable mesh adapted to the natural feature...
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We describe an application of probabilistic modeling to the problem of recognizing radio galaxies with a bentdouble morphology. The type of galaxies in question contain distinctive signatures of geometric shape and fl...
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Although conventional compilers implement a wide range of optimization techniques, they frequently miss opportunities to optimize the use of abstractions, largely because they are not designed to recognize and use the...
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Analytic solutions for streamlines within tetrahedra are used to define operators that accurately and efficiently compute streamlines. The method presented here is based on linear interpolation, and therefore produces...
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This paper deals with the challenging problem of performance analysis for Java programs. We describe procedures and requirements for instrumenting, monitoring, and analyzing distributed Java codes, and introduces Aksu...
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ISBN:
(纸本)9780780390744
This paper deals with the challenging problem of performance analysis for Java programs. We describe procedures and requirements for instrumenting, monitoring, and analyzing distributed Java codes, and introduces Aksum, a highly customizable and flexible system for performance analysis that helps programmers to semi-automatically locate and understand performance problems in parallel and distributed Java programs. We also describe a sophisticated agent architecture as part of Aksum for static and dynamic instrumentation of Java programs. Experiments are presented for a widely distributed application running on a heterogeneous set of machines with different operating systems to illustrate the usefulness of our approach.
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