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About the book
The book discusses the basic elements of automatic object classification systems. Within the supervised classification, empirical Bayes classifiers and directly defined classifiers are presented, including the supporting vector machine and the multi-layer perceptron. Among the grouping algorithms, selected algorithms of iterative optimization, density and graph algorithms as well as algorithms using neural networks are presented. All discussed algorithms are illustrated with practical examples with the participation of generated learning sets. In addition, applications of classification algorithms in computer vision systems are shown: recognition of geodetic maps and support of the diagnosis of glaucoma in ophthalmology.
The book will be useful to a wide group of readers involved in the design and creation of automatic object recognition systems in various fields, as well as students of the fields of Information Technology, Automation and Robotics and Bioengineering.
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Panasonic Eneloop PRO R6/AA rechargeable batteries with a capacity of 2000mAh and a voltage of 1.2V. The set contains four pieces sold in a blister packaging and a plastic case. Panasonic BK-3MCCEC4B
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Wireless motion sensor, temperature and magnetic field with built-in event memory (recorder)
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Aluminum extensometer beam, allowing weight measurement up to 100 kilograms. It has four wires. It is used in kitchen scales and portable scales, max 100 kg, 20x23x94, 21 cm cable, RoHS
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No product available!
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Male terminal block, angled, 10-pin. Pitch 3.5mm. Height 9.2mm. KF2EDGR
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No product available!
Neodymium rectangular magnet with dimensions of 10x5mm a and a height of 1 mm.
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No product available!