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Download ACM Transactions on Multimedia Computing, Communications and by James R. Wilcox PDF

By James R. Wilcox

ISBN-10: 1578200547

ISBN-13: 9781578200542

This specific factor includes a few of the remarkable paintings initially awarded on the ACM Multimedia convention 2003 (ACM MM 2003). The convention bought 255 submissions, of which forty three top quality papers have been authorised for presentation. of those papers, the Technical application Chairs invited a dozen authors to publish better models in their papers to this distinctive factor. those papers went via a rigorous evaluation approach, and we're chuffed to offer 4 really awesome papers during this specialissue. as a result of the hugely aggressive overview strategy and constrained area, many glorious papers couldn't be accredited for this targeted factor. in spite of the fact that, a few of them are being forwarded for attention as destiny typical papers during this magazine.

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When |C| > 2 or the number of classes is greater than two, we compute inter-classifier CF to assert a |C|-nary class prediction. Finally, we combine CF with bagging [Breiman 1996] and use CF to select training instances judiciously and to aggregate votes intelligently among bags. Our empirical study shows that the confidence-based approach of CDE not only significantly improves class prediction accuracy, but also provides an intuitive avenue for improving C, P , and L for knowledge discovery. The rest of the article is organized as follows: Section 2 discusses related works.

We have summarized the results in Table V. The most important thing to draw from the experiments is that in a given state, the power consumed by the sensor is relatively constant over time. The only exception comes when performing network transmission. As a result, we expect that the algorithms for power management that are being worked on by others might fit into this framework without much modification. We suspect that the Stargate sensor will have approximately 1–2 watts less power dissipation than the Bitsy board.

85 This table shows the performance of the sensors compressing a single image repeatedly with no video capture. Table III. Standalone Optimized vs. 72 This table shows the additional overhead incurred by the sensor in both capturing and compressing video. approximately 10 frames per second using a high-quality image. It should be noted that the compression times using the IPP are dependent on the actual video content. In comparing the two platforms, it appears that the Stargate platform is able to outperform the Bitsy platform using the Intel Performance Primitives but cannot outperform it using the software compression algorithm.

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ACM Transactions on Multimedia Computing, Communications and Applications (May) by James R. Wilcox


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