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Synthetic Generation of Cardiac MR Images Combining Convolutional Variational Autoencoders and Style Transfer., , , , , , and . EMBC, page 2084-2087. IEEE, (2022)Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models., , and . CoRR, (2020)Recovering wavelet relations using SVM for image denoising., , , and . ICIP, page 541-544. IEEE, (2008)Learning Structures in Earth Observation Data with Gaussian Processes., , , , and . AALTD@PKDD/ECML (Revised Selected Papers), volume 9785 of Lecture Notes in Computer Science, page 78-94. Springer, (2015)Invariance of deep image quality metrics to affine transformations., , , , and . CoRR, (2024)Encoding Invariances in Remote Sensing Image Classification With SVM., , , and . IEEE Geosci. Remote. Sens. Lett., 10 (5): 981-985 (2013)A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning., , , , , and . Remote. Sens., 15 (18): 4422 (September 2023)Spatial noise-aware temperature retrieval from infrared sounder data., , , and . CoRR, (2020)Randomized kernels for large scale Earth observation applications., , , , , and . CoRR, (2020)Estimating biophysical variable dependences with kernels., , , and . IGARSS, page 828-831. IEEE, (2010)