Search Results for author:
Found 7 papers, 3 papers with code
HARNet: A Convolutional Neural Network for Realized Volatility Forecasting
HARNets allow for an explicit initialization scheme such that before optimization, a HARNet yields identical predictions as the respective baseline HAR model.
Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks
Accurate numerical solutions for the Schr\"odinger equation are of utmost importance in quantum chemistry.
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.
The Oracle of DLphi
We present a novel technique based on deep learning and set theory which yields exceptional classification and prediction results.
Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation
In this paper, we propose a method for increasing the spatial resolution of a hyperspectral image by fusing it with an image of higher spatial resolution that was obtained with a different imaging modality.
A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment
In most practical situations, the compression or transmission of images and videos creates distortions that will eventually be perceived by a human observer.
Ranked #12 on
Video Quality Assessment
on MSU FR VQA Database
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).
