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The measuring method of the proposed system is based on a fast template matching algorithm with an optical microscopy.
In the matching-recognizing framework for image-based object classification, we design an automatic human eyebrow recognition system via fast template matching and Fourier spectrum distance.
The "fast template periodogram" presented here improves existing techniques by a factor of ∼a few for small test cases (O(10) observations), and over three orders of magnitude for lightcurves containing O(104) observations.
The fast template periodogram scales asymptotically as O HNf log HNf +H4Nf), where H denotes the number of harmonics required to adequately approximate the template and Nf is the number of trial frequencies.
Fast template matching is used to locate the target subregion of a gallery template or a pure eyebrow image in a probe original eyebrow image, whereas Fourier spectrum distance is used to determine the final identity of the probe original eyebrow image.
The measured equilibration time of ∼90 min suggests fast template binding kinetics.
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Assuming fast template-based elongation reactions, we can show that replicators have selection thresholds that are independent of their sequence length.
The proposed method substitutes the computational units specified at the RT-level or behavioral level in the system with fast templates of the exact latency of its original design and thus, preserving the performance measurement accuracy.
This figure shows results of simulation with manipulation of slow and fast rate template.
Compared with other methods, the present method is simple, fast, economical, template-free, and without organics.
This newly developed method opens a new avenue for the fast synthesis of template-free mesoporous zeolites.
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