High-dimensional statistical inference deals with models in which the the number of parameters p is comparable to or larger than the sample size n. Since it is usually impossible ...
Sahand Negahban, Pradeep Ravikumar, Martin J. Wain...
We present a novel approach to semisupervised learning which is based on statistical physics. Most of the former work in the field of semi-supervised learning classifies the point...
In linear image restoration, the point spread function of the degrading system is assumed known even though this information is usually not available in real applications. As a re...
This paper proposes an image segmentation method named iterative region growing using semantics (IRGS), which is characterized by two aspects. First, it uses graduated increased ed...
We develop a fast method to localize the level set method of Osher and Sethian (1988, Journal of Computational Physics) and address two important issues that are intrinsic to the l...
Danping Peng, Barry Merriman, Stanley Osher, Hongk...