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Texture Deformation Based Generative Adversarial Networks for Multi-domain Face Editing.

, , , and . PRICAI (1), volume 11670 of Lecture Notes in Computer Science, page 257-269. Springer, (2019)

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MutualBoost learning for selecting Gabor features for face recognition., and . Pattern Recognition Letters, 27 (15): 1758-1767 (2006)Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification., , , , , , , , and . ISBI, page 914-918. IEEE, (2019)Information Theory for Gabor Feature Selection for Face Recognition., and . EURASIP J. Adv. Sig. Proc., (2006)Adaptive convolution local and global learning for class-level joint representation of face recognition with single sample per person., , , and . ICPR, page 3537-3542. IEEE Computer Society, (2018)Band selection for Gabor feature based hyperspectral palmprint recognition., , , , , and . ICB, page 416-421. IEEE, (2015)Gabor Feature Based Face Recognition Using Kernel Methods., and . FGR, page 170-176. IEEE Computer Society, (2004)Memetic Three-Dimensional Gabor Feature Extraction for Hyperspectral Imagery Classification., , , , and . ICSI (1), volume 7331 of Lecture Notes in Computer Science, page 479-488. Springer, (2012)Tuning Kernel Parameters with Different Gabor Features for Face Recognition., , and . ICIC (2), volume 4682 of Lecture Notes in Computer Science, page 881-890. Springer, (2007)Fingerprint Pore Extraction Using Convolutional Neural Networks and Logical Operation., , and . CCBR, volume 10996 of Lecture Notes in Computer Science, page 38-47. Springer, (2018)HEp-2 Specimen Image Segmentation and Classification Using Very Deep Fully Convolutional Network., , and . IEEE Trans. Med. Imaging, 36 (7): 1561-1572 (2017)