Multi-Task Deep Dual Correlation Filters for Visual Tracking
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3029897
Abstract: Correlation filters combined with deep features have delivered impressive results in visual tracking task. However, existing approaches treat deep features produced by different network layers independently, limiting their representation power. To address this issue, this… read more here.
Keywords: visual tracking; correlation; correlation filters; multi task ... See more keywords
Feature selection algorithm based on dual correlation filters for cancer-associated somatic variants
Sign Up to like & getrecommendations! Published in 2020 at "BMC Bioinformatics"
DOI: 10.1186/s12859-020-03767-0
Abstract: Background Since the development of sequencing technology, an enormous amount of genetic information has been generated, and human cancer analysis using this information is drawing attention. As the effects of variants on human cancer become… read more here.
Keywords: feature selection; dual correlation; correlation; associated somatic ... See more keywords
Multiscale Uncertainty Quantification of Woven Composite Structures by Dual-Correlation Sampling for Stochastic Mechanical Behavior
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DOI: 10.3390/polym17192648
Abstract: Woven composite structures are inherently influenced by uncertainties across multiple scales, ranging from constituent material properties to mesoscale geometric variations. These uncertainties give rise to both spatial autocorrelation and cross-correlation among material parameters, resulting in… read more here.
Keywords: woven composite; correlation; multiscale uncertainty; uncertainty quantification ... See more keywords