Piecewise-Smooth Image Segmentation Models with $$L^1$$L1 Data-Fidelity Terms
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Scientific Computing"
DOI: 10.1007/s10915-016-0280-z
Abstract: In this article, we propose a class of piecewise-smooth image segmentation models in a variational framework. The models involve $$L^1$$L1 data fidelity measures and assume that an image can be approximated by the sum of… read more here.
Keywords: image; data fidelity; piecewise smooth; image segmentation ... See more keywords
Label-Only Membership Inference Attacks and Defenses in Semantic Segmentation Models
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2022.3154029
Abstract: Recent research has discovered that deep learning models are vulnerable to membership inference attacks, which can reveal whether a sample is in the training dataset of the victim model or not. Most membership inference attacks… read more here.
Keywords: membership inference; inference attacks; segmentation models;
Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models
Sign Up to like & getrecommendations! Published in 2021 at "BMC Bioinformatics"
DOI: 10.1186/s12859-021-04221-5
Abstract: Background Histone modification constitutes a basic mechanism for the genetic regulation of gene expression. In early 2000s, a powerful technique has emerged that couples chromatin immunoprecipitation with high-throughput sequencing (ChIP-seq). This technique provides a direct… read more here.
Keywords: chip seq; detection; natural assumptions; segmentation models ... See more keywords