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Discriminative Zernike and Pseudo Zernike Moments for Face Recognition.

, , и . Int. J. Comput. Vis. Image Process., 2 (2): 12-35 (2012)

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3D Local Spatio-temporal Ternary Patterns for Moving Object Detection in Complex Scenes., , , и . Cogn. Comput., 11 (1): 18-30 (2019)Discriminative Zernike and Pseudo Zernike Moments for Face Recognition., , и . Int. J. Comput. Vis. Image Process., 2 (2): 12-35 (2012)Complementary feature sets for optimal face recognition., , и . EURASIP J. Image Video Process., (2014)Automatic underwater moving object detection using multi-feature integration framework in complex backgrounds., , , , и . IET Comput. Vis., 12 (6): 770-778 (2018)Robust two-stage face recognition approach using global and local features., , и . Vis. Comput., 28 (11): 1085-1098 (2012)Identification of Harvesting Year of Barley Seeds Using Near-Infrared Hyperspectral Imaging Combined with Convolutional Neural Network., , и . PAKDD (Workshops), том 12705 из Lecture Notes in Computer Science, стр. 3-8. Springer, (2021)Near-Infrared Hyperspectral Imaging in Tandem with Machine Learning Techniques to Identify the Near Geographical Origins of Barley Seeds., , , и . CVMI, том 586 из Lecture Notes in Networks and Systems, стр. 669-678. Springer, (2022)Classification of Hard and Soft Wheat Species Using Hyperspectral Imaging and Machine Learning Models., , и . ICONIP (14), том 1968 из Communications in Computer and Information Science, стр. 565-576. Springer, (2023)Varietal Classification of Wheat Seeds Using Hyperspectral Imaging Technique and Machine Learning Models., , и . CVIP (2), том 1777 из Communications in Computer and Information Science, стр. 253-266. Springer, (2022)