Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning
Sign Up to like & getrecommendations! Published in 2019 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2018.2833487
Abstract: Imaging genetics has attracted significant interests in recent studies. Traditional work has focused on mass-univariate statistical approaches that identify important single nucleotide polymorphisms (SNPs) associated with quantitative traits (QTs) of brain structure or function. More… read more here.
Keywords: mri derived; guided sparse; tree guided; candidate genetic ... See more keywords
3D Point Cloud Attribute Compression Using Geometry-Guided Sparse Representation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2936738
Abstract: 3D point clouds associated with attributes are considered as a promising paradigm for immersive communication. However, the corresponding compression schemes for this media are still in the infant stage. Moreover, in contrast to conventional image/video… read more here.
Keywords: geometry guided; compression; guided sparse; geometry ... See more keywords
Grid-Guided Sparse Laplacian Consensus for Robust Feature Matching
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2025.3539469
Abstract: Feature matching is a fundamental concern widely employed in computer vision applications. This paper introduces a novel and efficacious method named Grid-guided Sparse Laplacian Consensus, rooted in the concept of smooth constraints. To address challenging… read more here.
Keywords: seed; guided sparse; grid; grid guided ... See more keywords