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Conventional NMF-based VC requires 216-word parallel data for dictionary construction.
For example, it would be important to show parallel data for all experiments with Cdh1, rather than stating as unpublished data that the knockdown of this protein gave no ciliary effect.
Figure 2 depicts histograms of the ratio of transcript support for the mutually exclusive symmetrical variations found in the AA, AD and ATE classes between isoforms at each locus for rice and Figure 3 contains the parallel data for Arabidopsis.
Parallel data for the histologic grade of malignancy, the menopausal status, the site of disease and the Ki-67 index, together with information on nuclear oestrogen receptor, membrane EGFR, membrane erbB2, membrane erbB3, cytoplasmic TGFα and nuclear phosphorylated MAPK protein, were available for these samples (Table 1).
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The receiver is designed to detect the P parallel data substreams for the K decoupled users simultaneously.
Figure 6 shows the simulated spatial correlation between the two parallel data streams for the chosen RB in the reference antenna domain and in the Butler beam domain.
The efficient execution of this method on the Connection Machine results from a parallel N body solver, parallel elliptic solvers, and a parallel data structure for the adaptive creation of computational elements on the boundary of the confining region.
In the simulation model, we calculate the correlation coefficient between the two parallel data streams for each transmission time slot using the same approach as in [27]: ρ = E h 1 h 2 ∗, (9). in which E denotes expectation, * refers to complex conjugation, and h1 and h2 correspond to the wideband (multi-tap) radio channel of data stream 1 from the TX antenna 1 to each of the two RX antennas.
This paper describes commodity cluster-based parallel data analysis strategies for hyperspectral imagery, a new class of image data that comprises hundreds of spectral bands at different wavelength channels for the same area on the surface of the Earth.
A good survey about MapReduce for parallel data processing is available in [10].
MapReduce is a programming model for parallel data processing widely used in Cloud computing environments.
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Justyna Jupowicz-Kozak
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