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Ch. Krügerith features that are . efficiently using a hierarchical feature extraction approach. Usually, the learned features are so discriminative that no sophisticated classifiers are required. In last years, deep learning has been successfully used in image and video recognition, and it has been establisheDysplasia 发表于 2025-3-30 19:27:14
E. H. Reimerdes,H.-A. Mehrens their own code.Provides a Matlab toolbox, a database of X-rThis accessible textbook presents an introduction to computer vision algorithms for industrially-relevant applications of X-ray testing. Features: introduces the mathematical background for monocular and multiple view geometry; describes th放肆的我 发表于 2025-3-30 22:33:58
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E. H. Meursingof mesh nickelide titanium implants obtained during clinical experiment. Processing and analysis of scanning electron microscopy and classical histological data are performed using a set of algorithms and their modifications, which allows simplify the data analysis procedure and improve the accuracy危机 发表于 2025-3-31 05:57:28
E. A. Niediekons. Successful efforts in computer vision-based research within the last years paved the path for first automatic sign language recognition systems. However, unresolved challenges, such as cultural differences in the sign languages of the world, lack of the representative databases for model trainiDysplasia 发表于 2025-3-31 11:58:22
J. C. Hoskin,P. S. Dimickmote sensing problems solving are considered. The issues of correlated data multidimensional arrays description and optimal and suboptimal processing thereof based on formalized mathematical models are investigated. It is proposed to use doubly stochastic autoregressive models as the basis for suchslow-wave-sleep 发表于 2025-3-31 15:26:22
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G. Talboted and noise-resistance properties of the digital devices involved in the system. The devices composed of counters and decoders occupy a special niche among the system’s digital tools. One of the most common ways of creating noise-proof devices is providing special coding tricks dealing with their i