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Found 9 papers, 2 papers with code
Classification with neural networks with quadratic decision functions
Neural network with quadratic decision functions have been introduced as alternatives to standard neural networks with affine linear one.
Uncertainty-Aware Blob Detection with an Application to Integrated-Light Stellar Population Recoveries
In this context, blobs may correspond to stars born in-situ versus those accreted from satellites, and the task of blob detection is to disentangle these components.
Diffusion Tensor Regularization with Metric Double Integrals
In this paper we propose a variational regularization method for denoising and inpainting of diffusion tensor magnetic resonance images.
Denoising
Optimization and Control
47A52, 65J20
Dynamical optical flow of saliency maps for predicting visual attention
Saliency maps are used to understand human attention and visual fixation.
Optical Flow on Evolving Sphere-Like Surfaces
In this work we consider optical flow on evolving Riemannian 2-manifolds which can be parametrised from the 2-sphere.
On a spatial-temporal decomposition of the optical flow
In this paper we present a decomposition algorithm for computation of the spatial-temporal optical flow of a dynamic image sequence.
Decomposition of Optical Flow on the Sphere
We propose a number of variational regularisation methods for the estimation and decomposition of motion fields on the $2$-sphere.
Optical Flow on Evolving Surfaces with Space and Time Regularisation
We extend the concept of optical flow with spatiotemporal regularisation to a dynamic non-Euclidean setting.
Optical Flow on Evolving Surfaces with an Application to the Analysis of 4D Microscopy Data
We extend the concept of optical flow to a dynamic non-Euclidean setting.
