Sparse and low-rank models have been widely studied in the literature of signal processing and computer vision. However, as the dimensionality of dataset increases (e.g., multispectral images, dynamic ...

This paper studies the Laplacian spectrum and the average effective resistance of (large) graphs that are sampled from graphons. Broadly speaking, our main finding is that the Laplacian eigenvalues of ...

linmc86 / Deep-Reformulated-Laplacian-Tone-Mapping Star 23 Code Issues Pull requests convolutional-neural-networks laplacian-pyramid tone-mapping high-dynamic-range Updated on May 29, 2019 Python ...