Results 1 to 10 of about 48,320 (262)

Dual-Branch Discrimination Network Using Multiple Sparse Priors for Image Deblurring

Sensors, 2022
Blind image deblurring is a challenging problem in computer vision, aiming to restore the sharp image from blurred observation. Due to the incompatibility between the complex unknown degradation and the simple synthetic model, directly training a deep ...
Jialuo Li, Shichao Cheng, Yueqiang Tao, Huasheng Liu, Junzhe Zhou, Jianhai Zhang   +5 more
doaj   +3 more sources

Anatomy-aware lymphoma lesion detection in whole-body PET/CT [PDF]

Frontiers in Oncology
Motivation and objectivesEarly cancer detection is essential for improving patient outcomes, and 18F-FDG PET/CT imaging plays a central role by combining metabolic and anatomical information.
Simone Bendazzoli, Simone Bendazzoli, Antonios Tzortzakakis, Antonios Tzortzakakis, Antonios Tzortzakakis, Andréas Abrahamsson, Björn Engelbrekt Wahlin, Björn Engelbrekt Wahlin, Örjan Smedby, Maria Holstensson, Maria Holstensson, Maria Holstensson, Rodrigo Moreno, Rodrigo Moreno   +13 more
doaj   +2 more sources

Systematically Defined Informative Priors in Bayesian Estimation: An Empirical Application on the Transmission of Internalizing Symptoms Through Mother-Adolescent Interaction Behavior

Frontiers in Psychology, 2021
BackgroundBayesian estimation with informative priors permits updating previous findings with new data, thus generating cumulative knowledge. To reduce subjectivity in the process, the present study emphasizes how to systematically weigh and specify ...
Susanne Schulz, Mariëlle Zondervan-Zwijnenburg, Stefanie A. Nelemans, Duco Veen, Duco Veen, Albertine J. Oldehinkel, Susan Branje, Wim Meeus   +7 more
doaj   +1 more source

Cascaded face super‐resolution with shape and identity priors

IET Image Processing, 2023
Despite impressive progress in face super‐resolution (SR), it is an open challenge to reconstruct a reliable SR face that preserves authentic facial characteristics.
Dan Zeng, Zelin Li, Xiao Yan, Wen Jiang, Xinshao Wang, Jiang Liu, Bo Tang   +6 more
doaj   +1 more source

Single-Trait and Multiple-Trait Genomic Prediction From Multi-Class Bayesian Alphabet Models Using Biological Information

Frontiers in Genetics, 2021
Genomic prediction has been widely used in multiple areas and various genomic prediction methods have been developed. The majority of these methods, however, focus on statistical properties and ignore the abundant useful biological information like ...
Zigui Wang, Hao Cheng
doaj   +1 more source

Joint distribution properties of fully conditional specification under the normal linear model with normal inverse-gamma priors

Scientific Reports, 2023
Fully conditional specification (FCS) is a convenient and flexible multiple imputation approach. It specifies a sequence of simple regression models instead of a potential complex joint density for missing variables.
Mingyang Cai, Stef van Buuren, Gerko Vink   +2 more
doaj   +1 more source

Shape Degeneration and Multi-object Search Basing on Multi-shape Priors [PDF]

International Journal of Computational Intelligence Systems, 2011
This paper proposed a framework of segmenting multiple targets basing on multiple shape priors. The key novel idea in the proposed framework is the shape degeneration model. By breaking the balance between the competition regions adaptively, the proposed
Song Chunhe, Zhao Hai, Jing Wei, Zhu Hongbo   +3 more
doaj   +1 more source

Multiple-Priors Ensemble Constrained Nonnegative Matrix Factorization for Spectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Nonnegative matrix factorization (NMF) is widely used in unmixing issue in recent years, because it can simultaneously estimate the endmembers and abundances.
Kewen Qu, Wenxing Bao
doaj   +1 more source

Generative Facial Prior and Semantic Guidance for Iterative Face Inpainting

IEEE Access, 2022
Image inpainting techniques have been greatly improved by relying on structure and texture priors. However, damaged original images or rough predictions cannot provide sufficient texture information and accurate structural priors, leading to a drop in ...
Xin-Yu Zhang, Kai Xie, Mei-Ran Li, Chang Wen, Jian-Biao He   +4 more
doaj   +1 more source

Image inpainting via progressive decoder and gradient guidance

Complex & Intelligent Systems, 2023
Very recently, with the widespread research of deep learning, its achievements are increasingly evident in image inpainting tasks. However, many existing multi-stage methods fail to effectively inpainting the larger missing areas, their common drawback ...
Shuang Hou, Xiucheng Dong, Chencheng Yang, Chao Wang, Hongda Guo, Fan Zhang   +5 more
doaj   +1 more source