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Orthonormal Convolutions for the Rotation Based Iterative Gaussianization
Valero Laparra, Alexander Hepburn, J. Emmanuel Johnson +1
In this paper we elaborate an extension of rotation-based iterative Gaussianization, RBIG, which makes image Gaussianization possible. Although RBIG has been successfully applied t…
Unsupervised Anomaly and Change Detection with Multivariate Gaussianization
José A. Padrón-Hidalgo, Valero Laparra, Gustau Camps-Valls
Anomaly detection is a field of intense research. Identifying low probability events in data/images is a challenging problem given the high-dimensionality of the data, especially w…
Inference over radiative transfer models using variational and expectation maximization methods
Daniel Heestermans Svendsen, Daniel Hernández-Lobato, Luca Martino +3
Earth observation from satellites offers the possibility to monitor our planet with unprecedented accuracy. Radiative transfer models (RTMs) encode the energy transfer through the…
Neural Networks with Divisive normalization for image segmentation with application in cityscapes dataset
Pablo Hernández-Cámara, Valero Laparra, Jesús Malo
One of the key problems in computer vision is adaptation: models are too rigid to follow the variability of the inputs. The canonical computation that explains adaptation in sensor…