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Visual tracking with generative template model based on Riemannian manifold of covariances., , , and . FUSION, page 1-8. IEEE, (2011)Myocardial strain estimation from CT: towards computer-aided diagnosis on infarction identification., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 941434. SPIE, (2015)Objects co-segmentation: Propagated from simpler images., , , and . ICASSP, page 1682-1686. IEEE, (2015)Efficient learning methods for high dimensional visual data. Nanyang Technological University, Singapore, (2015)A comparative analysis of covariance matrix estimation in anomaly detection., , , and . WHISPERS, page 1-4. IEEE, (2014)Efficient Empirical Reflectance Retrieval in Urban Environments., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 6 (3): 1596-1601 (2013)Unsupervised Nonlinear Spectral Unmixing based on a Multilinear Mixing Model., , , and . CoRR, (2016)Multiband Image Fusion Based on Spectral Unmixing., , , , , and . IEEE Trans. Geosci. Remote. Sens., 54 (12): 7236-7249 (2016)Comparative Analysis of Covariance Matrix Estimation for Anomaly Detection in Hyperspectral Images., , , and . IEEE J. Sel. Top. Signal Process., 9 (6): 1061-1073 (2015)Regional infarction identification from cardiac CT images: a computer-aided biomechanical approach., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (9): 1573-1583 (2016)