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On the LFW database, our method provides up to 76.33% recognition rate.
The proposed method provides up to 50% gain in bit-rate over frame-by-frame quantization while preserving signal quality and competes favorably with 2D-transform coding for the lower range of tested bit rates.
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The simulation results show that compared with the traditional DVS method, our proposed method not only provides up to 59% energy saving, but also satisfies hard real-time constraints.
Our experimental results showed that the proposed methods can provide up to 158 (times) speedup (using 32 compute nodes) over single-core configuration, which decreases the end-to-end processing time of a sinogram (with (4501, 1, 22,400) dimensions) from (sim 12.5 h to <5 min per iteration.
For adulthood cancers, performance of period analysis has meanwhile undergone extensive empirical evaluation, which demonstrated that this method provides much more up-to-date estimates of long-term survival rates than the traditional methods of survival analysis indeed (Brenner and Hakulinen, 2002a, 2002b, 2002c; Brenner et al, 2002b).
Performing Bralibase 2.1 benchmarks, we demonstrated that, also in practice, the method provides a profound speed up.
Furthermore, the fabrication method provides a rapid bottom-up synthetic strategy for silicon-supported free-standing metallic nanostructures.
This bottom-up method provides a novel alternative path to the synthesis of glassy alloys and will contribute to improving fundamental understanding in the field of metallic glasses.
Among the fabrication techniques for microfluidic channels, the recently-developed rolled-up method provides a great opportunity to integrate tubular channels by selective underetching and release of a strained thin film from a substrate.
This method provides the ability to pick up and transport particles or biological entities, leading to their isolation in complex samples (e.g. serum, urine, saliva).
As it can be observed in Fig. 6, the proposed look-up table method provides slightly better BER performance (0.4 dB at 10−3) as compared to the SIR scheme in [5] with SC-LDPC codes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com