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Comparison of 3D local and global descriptors for similarity retrieval of range data.

, и . Neurocomputing, (2016)

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Neslihan Kose

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Machine Learning Based Texture Analysis of Patella from X-Rays for Detecting Patellofemoral Osteoarthritis., , и . CoRR, (2021)Lossless description of 3D range models., и . Visual Information Processing and Communication, том 8305 из SPIE Proceedings, стр. 83050B. SPIE, (2012)Range data recognition: segmentation, matching, and similarity retrieval ; Derinlik verilerinin tanınması: bölütleme, eşleme ve benzerlik çıkarımı.. Middle East Technical University, Çankaya, Ankara, Turkey, (2011)base-search.net (ftmetuankair:oai:https://open.metu.edu.tr:11511/21121).A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection., , и . MIUA, том 1248 из Communications in Computer and Information Science, стр. 331-345. Springer, (2020)Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis., , , , и . CoRR, (2019)Comparison of 3D local and global descriptors for similarity retrieval of range data., и . Neurocomputing, (2016)Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks., , , и . ICCV Workshops, стр. 64-71. IEEE Computer Society, (2017)Shape Index SIFT: Range Image Recognition Using Local Features., и . ICPR, стр. 352-355. IEEE Computer Society, (2010)CS-3DLBP and geometry based person independent 3D facial action unit detection., , и . ICB, стр. 1-6. IEEE, (2013)Transfer Learning for Cell Nuclei Classification in Histopathology Images., и . ECCV Workshops (3), том 9915 из Lecture Notes in Computer Science, стр. 532-539. (2016)