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Zhu et al. [27] introduce SAP, a self-adaptive partition framework for supporting continuous top-k query over stream data.
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In a map partitioning framework, we have tested the proposed approach in real environments where features are obtained using 2D laser sensors or vision (stereo and monocular cameras).
We present a new partitioning framework to simultaneously address the two problems, in which the DVE scenario is divided into a set of disjoint grids called virtual cells.
An object partitioning framework of the landscape was defined on the basis of the mount and the non-mount terrain classes as well as the isolated mountain features.
We show several open issues and present a novel algorithm, SubXPCA which proposes a solution to the cross-sub-pattern correlation issue in the feature partitioning framework.
We propose a constrained spectral graph partitioning framework to address the former while also reducing the segmentation complexity associated with the latter.
In this paper we propose a general feature partitioning framework to PCA computation and raise issues of cross-sub-pattern correlation, feature ordering dependence, selection of sub-pattern size, overlap of sub-patterns and selection of principal components.
We propose the use of an adaptive partitioning framework, which can effectively use network resources and at the same time stabilize the advertised domain topologies and thus path advertisements.
This paper investigates autonomic application-sensitive SAMR runtime management strategies and presents the design, implementation, and evaluation of ARMaDA, a self-adapting and optimizing partitioning framework for SAMR applications.
MtDNA data for individual mouse lemurs were concatenated and analyzed in a two-partition framework with model parameters estimated separately for the cox2 and cytb genes.
Due to the chosen 0/1 recursive partitioning framework, the lack of smoothness - a common disadvantage of tree based modelling - could be neglected.
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