Results 101 to 110 of about 724,897 (308)

Parametric dictionary design for sparse coding [PDF]

, 2009
—This paper introduces a new dictionary design method for sparse coding of a class of signals. It has been shown that one can sparsely approximate some natural signals using an overcomplete set of parametric functions, e.g. [1], [2].
Yaghoobi, M., Davies, M.E.; id_orcid, Daudet, L., Mehrdad Yaghoobi, Mike E. Davies, Laurent Daudet   +5 more
core  

Hierarchical Bayesian sparse image reconstruction with application to MRFM [PDF]

, 2008
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gaussian noise. Our hierarchical Bayes model is well suited to such naturally
Hero, Alfred O., Dobigeon, Nicolas, Tourneret, Jean-Yves   +2 more
core   +1 more source

SAR 3D Reconstruction Based on Multi-Prior Collaboration

Remote Sensing
Array synthetic aperture radar (SAR) three-dimensional (3D) image reconstruction enables the extraction of target distribution information in 3D space, supporting scattering characteristic analysis and structural interpretation.
Yangyang Wang, Zhenxiao Zhou, Zhiming He, Xu Zhan, Jiapan Yu, Xingcheng Han, Xiaoling Zhang, Zhiliang Yang, Jianping An   +8 more
doaj   +1 more source

Risk of Non‐Arteritic Anterior Ischemic Optic Neuropathy in Idiopathic Intracranial Hypertension Patients Treated with GLP‐1 Receptor Agonists

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi, Mohanad A. Alkuwaiti, Yazeed B. Alaql, Ahmed K. Alsaif, Ahmed A. Alessa, Meshari Ayed Alharbi, Mohammed Alfalah, Saud A. Alnaaim, Sajjad M. AlHaddad, Ahmed Y. Azzam   +9 more
wiley   +1 more source

Gene Selection for Classifications Using Multiple PCA with Sparsity

Tsinghua Science and Technology, 2012
A gene selection algorithm was developed using Multiple Principal Component Analysis with Sparsity (MSPCA). The MSPCA algorithm is used to analyze normal and disease gene expression samples and to set these component loadings to zero if they are smaller ...
Yanwei Huang, Liqing Zhang
doaj   +1 more source

Sparse Laneformer

CoRR
Lane detection is a fundamental task in autonomous driving, and has achieved great progress as deep learning emerges. Previous anchor-based methods often design dense anchors, which highly depend on the training dataset and remain fixed during inference. We analyze that dense anchors are not necessary for lane detection, and propose a transformer-based
Ji Liu, Zifeng Zhang, Mingjie Lu, Hongyang Wei, Dong Li 0025, Yile Xie, Jinzhang Peng, Lu Tian, Ashish Sirasao, Emad Barsoum   +9 more
openaire   +2 more sources

Spanners in sparse graphs

Journal of Computer and System Sciences, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Feodor F. Dragan, Fedor V. Fomin, Petr A. Golovach   +2 more
openaire   +4 more sources

Spatial and Volumetric Characteristics of Glioblastoma: Associations With Clinical Presentation and Survival

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou, Marc Jaskir, Julian Gal, Yombe Fonkeu, Christos Davatzikos, MacLean P. Nasrallah, Jose Garcia, Rubo Xing, Stephen J. Bagley, Arati Desai, Richard E. Phillips, Steven Tobochnik, Colin A. Ellis, James J. Gugger, Nishant Sinha, Joel M. Stein, Kathryn A. Davis   +16 more
wiley   +1 more source

Semi-blind sparse image reconstruction with application to MRFM [PDF]

, 2012
We propose a solution to the image deconvolution problem where the convolution kernel or point spread function (PSF) is assumed to be only partially known.
Hero, Alfred O., Park, Se Un, Dobigeon, Nicolas   +2 more
core   +1 more source

Indoor Pedestrian Tracking with Sparse RSS Fingerprints

Tsinghua Science and Technology, 2018
Indoor pedestrian localization is of great importance for diverse mobile applications. Many indoor localization approaches have been proposed; among them, Radio Signal Strength (RSS)-based approaches have the advantage of existing infrastructures and ...
Qiuxia Chen, Dongdong Ding, Yue Zheng
doaj   +1 more source