JAR
发表于 2025-3-21 17:39:27
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缺乏
发表于 2025-3-21 22:32:31
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影响
发表于 2025-3-22 03:56:52
Matthias Reimannpecificity metrics. It appears that satisfactory results were achieved only by two algorithms based on active contour. By applying methodology based on active contour algorithm we managed to achieve sensitivity of about 93% and specificity of over 99%. To sum up, thresholding algorithms produce resu
AGATE
发表于 2025-3-22 06:49:02
Matthias Reimanny different software platforms, taking the advantage of the existing PDE solvers within them. The design logic is discussed in the paper along with numerical experiments on a number of methods, including isotropic model and anisotropic model for denoising and smoothing. Several pictures are used in
Minuet
发表于 2025-3-22 12:39:29
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异端邪说下
发表于 2025-3-22 14:01:19
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MINT
发表于 2025-3-22 19:51:46
Matthias Reimann best cluster and thus to localize face in image. We evaluate our generic invariant by testing it in face detection experiments on PIE, FERET and CMU-Profiles databases. The experimental results show that using face invariant gives a localization rate of 89.3% and results in high accuracy face local
CLOWN
发表于 2025-3-22 23:17:01
Matthias Reimannnetwork was employed for portable positioning systems. However, those systems considerably increase the accuracy for indoor localization, still the outcome is not satisfactory. Thus, the combination of a variety of signals measured by mobile equipments could provide an enhancement for mobile system
牛的细微差别
发表于 2025-3-23 03:54:38
Matthias Reimannible location of the text in the image. Their verification can be based on the analysis of images in various color spaces. An additional advantage of the discussed algorithms is their construction allowing an efficient parallel implementation further reducing the computation time.
Progesterone
发表于 2025-3-23 07:38:17
Matthias Reimanned that the difference between clustering results increases while dataset is partitioned into more clusters. The second experiment was an evaluation what is an averaged percentage of recordings in training set and test set that contains all key frames detected by K-means algorithm. The proposed appr