LAUSR

Automatic Feature Selection for Denoising Volumetric Renderings

Sign Up to like & get
recommendations!
1 Published in 2022 at "Computer Graphics Forum"

DOI: 10.1111/cgf.14587

Abstract: We propose a method for constructing feature sets that significantly improve the quality of neural denoisers for Monte Carlo renderings with volumetric content. Starting from a large set of hand‐crafted features, we propose a feature… read more here.

Keywords: denoising volumetric; selection denoising; automatic feature; feature ... See more keywords

Automatic feature selection in EUV scatterometry.

Sign Up to like & get
recommendations!
0 Published in 2019 at "Applied optics"

DOI: 10.1364/ao.58.005916

Abstract: Scatterometry is an important nonimaging and noncontact method for optical metrology. In scatterometry certain parameters of interest are determined by solving an inverse problem. This is done by minimizing a cost functional that quantifies the… read more here.

Keywords: problem; feature selection; automatic feature; inverse problem ... See more keywords

An automatic feature extraction method and its application in fault diagnosis

Sign Up to like & get
recommendations!
0 Published in 2017 at "Journal of Vibroengineering"

DOI: 10.21595/jve.2017.17906

Abstract: The main challenge of fault diagnosis is to extract excellent fault feature, but these methods usually depend on the manpower and prior knowledge. It is desirable to automatically extract useful feature from input data in… read more here.

Keywords: feature; automatic feature; method; fault diagnosis ... See more keywords