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Visual learning and classification of human epithelial type 2 cell images through spontaneous activity patterns.

, , , , and . Pattern Recognit., 47 (7): 2325-2337 (2014)

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Efficient clustering on Riemannian manifolds: A kernelised random projection approach., , , and . Pattern Recognit., (2016)Unsupervised Domain Adaptive Object Detection Using Forward-Backward Cyclic Adaptation., , , and . ACCV (3), volume 12624 of Lecture Notes in Computer Science, page 124-142. Springer, (2020)A Benchmarking Platform for Mitotic Cell Classification of ANA IIF HEp-2 Images., , , , , and . DICTA, page 1-6. IEEE, (2015)Binary watermarks: a practical method to address face recognition replay attacks on consumer mobile devices., , and . ISBA, page 1-6. IEEE, (2015)An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images., , , , , , , , and . CVPR Workshops, page 814-820. IEEE Computer Society, (2017)Automatic and quantitative evaluation of attribute discovery methods., , , and . WACV, page 1-9. IEEE Computer Society, (2016)DGDI: A Dataset for Detecting Glomeruli on Renal Direct Immunofluorescence., , , , , , , , and . DICTA, page 1-7. IEEE, (2018)Classification of human epithelial type 2 cell images using independent component analysis., , , and . ICIP, page 733-737. IEEE, (2013)A Context Space Model for Detecting Anomalous Behaviour in Video Surveillance., , , and . ITNG, page 18-24. IEEE Computer Society, (2012)Discovering discriminative cell attributes for HEp-2 specimen image classification., , and . WACV, page 423-430. IEEE Computer Society, (2014)