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This is followed by the presentation of a software architecture and its implementation in Section 6. Section 7 describes an implemented prototype demonstrator for a financial application.
We present the details of HCOR implementation in Section 6.
In Section 'Background' we introduce R&C's brokerage model and describe our CReST implementation in Section 'Experimental method'.
Then, we present our system design as well as detailed description about the implementation in Section 4. Section 5 evaluates the experimental results.
We then describe our MapReduce-based particle filtering implementation in Section 5. We follow this section with an evaluation of our algorithms on key two MapReduce frameworks in Section 6. Section 7 highlights related work before Section 8 concludes.
In any event, both our PPI approximation in Section 3 and the FPGA implementation in Section 4 produced very similar results to those found by ENVI's PPI, but in a fully automatic fashion.
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K-means implementation on Spark is similar to the MapReduce-based implementation described in Section K-means on MapReduce.
We discuss implementation issues in Section 17.8.
Also, messages are persistent to reuse their skeleton, as in the implementation described in Section 8.
Hardware-specific layer: A mapping of perceptual features to a hardware-specific implementation (discussed in Section 4.2).
For experimental purposes, we used the Component Manager implementation presented in Section 3.3 that controls a pipeline of software components for processing a sequence of video frames.
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