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Investigation of Activation Functions for Generalized Learning Vector Quantization.

, , , , and . WSOM+, volume 976 of Advances in Intelligent Systems and Computing, page 179-188. Springer, (2019)

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Integration of Auxiliary Data Knowledge in Prototype Based Vector Quantization and Classification Models. Leipzig University, Germany, (2016)base-search.net (ftunivleipzig:oai:qucosa:de:qucosa:14833).Compression of Particle Images for Inspection of Microgravity Experiments by Means of a Symmetric Structural Auto-Encoder., , , , and . WHISPERS, page 1-5. IEEE, (2023)Quantum-Inspired Learning Vector Quantization for Classification Learning., , , , and . ESANN, page 279-284. (2020)Investigating the Influence of CPU Load, Memory Usage and Environmental Conditions on the Jittering of Android Devices., , , , , , and . ICNCC, page 102-106. ACM, (2018)Possibilistic Classification Learning Based on Contrastive Loss in Learning Vector Quantizer Networks., , and . ICAISC (1), volume 12854 of Lecture Notes in Computer Science, page 156-167. Springer, (2021)Searching for the Origins of Life - Detecting RNA Life Signatures Using Learning Vector Quantization., , , , , , and . WSOM+, volume 976 of Advances in Intelligent Systems and Computing, page 324-333. Springer, (2019)Investigation of Activation Functions for Generalized Learning Vector Quantization., , , , and . WSOM+, volume 976 of Advances in Intelligent Systems and Computing, page 179-188. Springer, (2019)Efficient classification learning of biochemical structured data by means of relevance weighting for sensoric response features., , , and . ESANN, (2022)Prototype-based One-Class-Classification Learning Using Local Representations., , , , , and . IJCNN, page 1-8. IEEE, (2022)Quantum-inspired learning vector quantizers for prototype-based classification., , , , and . Neural Comput. Appl., 34 (1): 79-88 (2022)