2.6k citations · 4.8k across the 91 of their papers we have counts for
10 papers · 1 filter
Principled Design and Implementation of Steerable Detectors
Julien Fageot, Virginie Uhlmann, Zsuzsanna Püspöki +3
We provide a complete pipeline for the detection of patterns of interest in an image. In our approach, the patterns are assumed to be adequately modeled by a known template, and ar…
Multi-Kernel Regression with Sparsity Constraint
Shayan Aziznejad, Michael Unser
In this paper, we provide a Banach-space formulation of supervised learning with generalized total-variation (gTV) regularization. We identify the class of kernel functions that ar…
Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems
Anaïs Badoual, Julien Fageot, Michael Unser
This paper deals with the resolution of inverse problems in a periodic setting or, in other terms, the reconstruction of periodic continuous-domain signals from their noisy measure…
Direct Reconstruction of Saturated Samples in Band-Limited OFDM Signals
Kyong Hwan Jin, Gain Kim, Yusuf Leblebici +2
Given a set of samples, a few of them being possibly saturated, we propose an efficient algorithm in order to cancel saturation while reconstructing band-limited signals. Our metho…
Fast Rotational Sparse Coding
Michael T. McCann, Vincent Andrearczyk, Michael Unser +1
We propose an algorithm for rotational sparse coding along with an efficient implementation using steerability. Sparse coding (also called dictionary learning) is an important tech…
Diverse M-Best Solutions by Dynamic Programming
Carsten Haubold, Virginie Uhlmann, Michael Unser +1
Many computer vision pipelines involve dynamic programming primitives such as finding a shortest path or the minimum energy solution in a tree-shaped probabilistic graphical model.…