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This matching may be assessed in the lung as a whole, or in individual or in sub-groups of gas-exchanging units in the lung. On the other side Ventilation-perfusion mismatch is the term used when the ventilation and the perfusion of a gas exchanging unit are not matched. The actual values in the lung vary depending on the position within the lung.
Furthermore, adequate achievement of ventilation and perfusion matching is essential as it ensures the continuous supply of oxygen and withdrawal of waste products from the body. Thus, strict regulation of ventilation and perfusion is needed for efficient gas exchange .
Vector quantization (VQ) is a classical quantization technique from signal processing that allows the modeling of probability density functions by the distribution of prototype vectors. Developed in the early 1980s by Robert M. Gray , it was originally used for data compression .
Extended matching items/questions (EMI or EMQ) are a written examination format similar to multiple choice questions but with one key difference, that they test knowledge in a far more applied, in-depth, sense. It is often used in medical education and other healthcare subject areas to test diagnostic reasoning.
Alpha-EM [5] ⊃ log-EM ⊃ basic competitive learning (vector quantization, VQ; or clustering). On the class of the vector quantization and competitive learning, he contributed to generate and identify the hierarchy of VQs. VQ ⇔ {batch mode VQ, and learning VQ} [8] ⊂ {harmonic competition} [7] ⊂ {multiple descent cost competition}. [8]
Different matching methods, such as velocity matching and position matching, are designed to improve the speed and accuracy of the alignment. Different factors will affect the accuracy of the transfer alignment, such as reference information delay, mounting error, sensor measurement error, lever-arm effect [2] and flexure of the carrier body.
Point set registration is the process of aligning two point sets. Here, the blue fish is being registered to the red fish. In computer vision, pattern recognition, and robotics, point-set registration, also known as point-cloud registration or scan matching, is the process of finding a spatial transformation (e.g., scaling, rotation and translation) that aligns two point clouds.
In the context of the MPEG-4 Audio (MPEG-4 Part 3), TwinVQ is an audio codec optimized for audio coding at ultra low bitrates around 8 kbit/s.. TwinVQ is one of the object types defined in MPEG-4 Audio, published as subpart 4 of ISO/IEC 14496-3 (for the first time in 1999 - a.k.a. MPEG-4 Audio version 1).