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Disambiguation of "Kaden, Marika"

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RFSOM - Extending Self-Organizing Feature Maps with Adaptive Metrics to Combine Spatial and Textural Features for Body Pose Estimation.

, , , , , and . WSOM, volume 295 of Advances in Intelligent Systems and Computing, page 157-166. Springer, (2014)

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Marika Kardel

Marika Schindelhauer

Marika Mörschner

Marika Schade

Marika Wolf

 

Other publications of authors with the same name

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).Quantum-Inspired Learning Vector Quantization for Classification Learning., , , , and . ESANN, page 279-284. (2020)Compression of Particle Images for Inspection of Microgravity Experiments by Means of a Symmetric Structural Auto-Encoder., , , , and . WHISPERS, page 1-5. IEEE, (2023)Investigating the Influence of CPU Load, Memory Usage and Environmental Conditions on the Jittering of Android Devices., , , , , , and . ICNCC, page 102-106. ACM, (2018)Efficient classification learning of biochemical structured data by means of relevance weighting for sensoric response features., , , and . ESANN, (2022)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)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)Quantum-inspired learning vector quantizers for prototype-based classification., , , , and . Neural Comput. Appl., 34 (1): 79-88 (2022)Appropriate Data Density Models in Probabilistic Machine Learning Approaches for Data Analysis., , , and . ICAISC (2), volume 11509 of Lecture Notes in Computer Science, page 443-454. Springer, (2019)