Results 1 to 10 of about 9,777 (267)

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

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   +8 more sources

Source localization of epileptic spikes using Multiple Sparse Priors [PDF]

Clinical Neurophysiology, 2021
To evaluate epileptic source estimation using multiple sparse priors (MSP) inverse method and high-resolution, individual electrical head models.Accurate source localization is dependent on accurate electrical head models and appropriate inverse solvers.
Rui Feng, Li Pan, Don Tucker
exaly   +8 more sources

Multiple sparse priors for the M/EEG inverse problem [PDF]

NeuroImage, 2008
This paper describes an application of hierarchical or empirical Bayes to the distributed source reconstruction problem in electro- and magnetoencephalography (EEG and MEG). The key contribution is the automatic selection of multiple cortical sources with compact spatial support that are specified in terms of empirical priors. This obviates the need to
Nelson J Trujillo-Barreto, Karl Friston, Jean Daunizeau   +2 more
exaly   +6 more sources

Electrical source imaging of interictal spikes using multiple sparse volumetric priors for presurgical epileptogenic focus localization

NeuroImage: Clinical, 2016
Electrical source imaging of interictal spikes observed in EEG recordings of patients with refractory epilepsy provides useful information to localize the epileptogenic focus during the presurgical evaluation. However, the selection of the time points or
Gregor Strobbe, Evelien Carrette, José David López, Victoria Montes Restrepo, Dirk Van Roost, Alfred Meurs, Kristl Vonck, Paul Boon, Stefaan Vandenberghe, Pieter van Mierlo   +9 more
doaj   +8 more sources

Direction-of-Arrival Estimation via Sparse Bayesian Learning Exploiting Hierarchical Priors with Low Complexity [PDF]

Sensors
For direction-of-arrival (DOA) estimation problems in a sparse domain, sparse Bayesian learning (SBL) is highly favored by researchers owing to its excellent estimation performance.
Ninghui Li, Xiaokuan Zhang, Fan Lv, Binfeng Zong   +3 more
doaj   +4 more sources

Multiple sparse volumetric priors for distributed EEG source reconstruction [PDF]

NeuroImage, 2014
We revisit the multiple sparse priors (MSP) algorithm implemented in the statistical parametric mapping software (SPM) for distributed EEG source reconstruction (Friston et al., 2008). In the present implementation, multiple cortical patches are introduced as source priors based on a dipole source space restricted to a cortical surface mesh.
Sabine Van Huffel, Hans Hallez, Stefaan Vandenberghe   +2 more
exaly   +4 more sources

SINGLE MEG/EEG SOURCE RECONSTRUCTION WITH MULTIPLE SPARSE PRIORS AND VARIABLE PATCHES

Dyna, 2012
La reconstrucción de actividad neuronal a partir de datos MEG/EEG se ha convertido en una importante herramienta en neurología. A pesar de ser un problema mal condicionado, su incertidumbre se puede reducir incluyendo información previa en algoritmos ...
JOSÉ D. LÓPEZ, GARETH R. BARNES, JAIRO J. ESPINOSA   +2 more
doaj   +3 more sources

Attention-guided enhanced deconvolution enables reference-free cell type estimation in spatial transcriptomics [PDF]

Scientific Reports
Spatial transcriptomics technologies profile gene expression across tissue sections while retaining spatial information, yet most platforms capture signals from multiple cells per measurement location, requiring computational methods to determine the ...
Xiao Yang, Yujiao Wang, Xiaozhou Chen
doaj   +2 more sources

Sparse Depth-Guided Image Enhancement Using Incremental GP with Informative Point Selection

Sensors, 2023
We propose an online dehazing method with sparse depth priors using an incremental Gaussian Process (iGP). Conventional approaches focus on achieving single image dehazing by using multiple channels.
Geonmo Yang, Juhui Lee, Ayoung Kim, Younggun Cho   +3 more
doaj   +1 more source

Point Event Cluster Detection via the Bayesian Generalized Fused Lasso

ISPRS International Journal of Geo-Information, 2022
Spatial cluster detection is one of the focus areas of spatial analysis, whose objective is the identification of clusters from spatial distributions of point events aggregated in districts with small areas. Choi et al.
Ryo Masuda, Ryo Inoue
doaj   +1 more source