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Found 8 papers, 2 papers with code
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks
This paper illustrates how one can utilize the dual graph to detect and analyze adversarial attacks in the context of digital images.
A Primer on Topological Data Analysis to Support Image Analysis Tasks in Environmental Science
One of the core strengths of persistent homology is how interpretable it can be, so throughout this paper we discuss not just the patterns we find, but why those results are to be expected given what we know about the theory of persistent homology.
Formulating Beurling LASSO for Source Separation via Proximal Gradient Iteration
Beurling LASSO generalizes the LASSO problem to finite Radon measures regularized via their total variation.
Blind Source Separation in Polyphonic Music Recordings Using Deep Neural Networks Trained via Policy Gradients
We propose a method for the blind separation of sounds of musical instruments in audio signals.
Edge, Ridge, and Blob Detection with Symmetric Molecules
We also show how the behavior of coefficients corresponding to differently scaled and oriented analyzing functions can be used to obtain a comprehensive characterization of the geometry of features in terms of local tangent directions, widths, and heights.
Singular Values for ReLU Layers
By presenting on the one hand theoretical justifications, results, and interpretations of these two concepts and on the other hand numerical experiments and results of the ReLU singular values and the Gaussian mean width being applied to trained neural networks, we hope to give a comprehensive, singular-value-centric view of ReLU layers.
Sparse Pursuit and Dictionary Learning for Blind Source Separation in Polyphonic Music Recordings
In general, due to its pitch-invariance, our method is especially suitable for dealing with spectra from acoustic instruments, requiring only a minimal number of hyperparameters to be preset.
Shearlet-Based Detection of Flame Fronts
Identifying and characterizing flame fronts is the most common task in the computer-assisted analysis of data obtained from imaging techniques such as planar laser-induced fluorescence (PLIF), laser Rayleigh scattering (LRS), or particle imaging velocimetry (PIV).
