The improved Hard TA and Soft TA. حسب Bingbing Li (461702)

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The diagram of Hard TA and Soft TA. حسب Bingbing Li (461702)

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A hybrid algorithm based on improved threshold function and wavelet transform. حسب Bingbing Li (461702)

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The SSIM for the different algorithms. حسب Bingbing Li (461702)

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Comparison of denoising effects of different algorithms. حسب Bingbing Li (461702)

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Time spent on image denoising using different algorithms. حسب Bingbing Li (461702)

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Comparison of image denoising results between two algorithms. حسب Bingbing Li (461702)

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Denoising evaluation indicators for fingerprint images using different algorithms. حسب Bingbing Li (461702)

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Structural changes of images after denoising using different algorithms. حسب Bingbing Li (461702)

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500 <i>ϕ</i> vectors learned from hard thresholding. حسب Ilias Rentzeperis (10215602)

Comparison results of PSNR and MSE of color images under different algorithms. حسب Bingbing Li (461702)

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Comparison results of PSNR and MSE of gray images under different algorithms. حسب Bingbing Li (461702)

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Performance of the greedy approximation algorithm. حسب Virgile Andreani (17087764)

الموضوعات: "…unlike approximation algorithms…"

Summary of greedy algorithms presented in this section. Details of approximation factors for FastGreedy and UnitGreedy may be found in [26] and [25], respectively. حسب Jeffrey Keithley (14626551)

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Efficient algorithms to discover alterations with complementary functional association in cancer حسب Rebecca Sarto Basso (6728921)

"…We propose a combinatorial formulation for the problem, and prove that the associated computational problem is computationally hard. We design two algorithms to solve the problem and implement them in our tool UNCOVER. …"

The parameters of algorithms. حسب Le Huu Binh (18340233)

"…However, solving the RNP problem in WMN is difficult because it is NP-hard. As a result, this problem can only be solved using approximate optimization algorithms such as heuristics and meta-heuristics. …"

CEL0, and to a lesser extent, <i>ℓ</i>_1/2, and hard thresholding produce sparser codes than ISTA. حسب Ilias Rentzeperis (10215602)

Percentage totBurden and percentage maxBurden reduced by UnitGreedy, SingletonGreedy, FastGreedy and baselines for = 0.535 in Iowa for FRED (first column) and SafeGraph (second col... حسب Jeffrey Keithley (14626551)

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Metapopulation model notation. حسب Jeffrey Keithley (14626551)

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Estimates of for each problem instance. حسب Jeffrey Keithley (14626551)

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