Results 101 to 110 of about 27,220,972 (292)
Image encoding by independent principal components [PDF]
, 2010 The encoding of images by semantic entities is still an unresolved task. This paper proposes the encoding of images by only a few important components or image primitives. Classically, this can be done by the Principal Component Analysis (PCA). Recently,
Brause, Rüdiger W., Arlt, Björn
core
The Kaohsiung Journal of Medical Sciences, EarlyView.ABSTRACT Mild behavioral impairment (MBI) is a late‐life neuropsychiatric syndrome proposed as an early clinical manifestation of neurodegenerative disease. Vascular pathology contributes to late‐life cognitive and behavioral changes; however, its relationship with MBI remains insufficiently characterized.
Po‐Han Chen +6 more
wiley +1 more source
NeuroImageIntegrating multi-site magnetic resonance imaging (MRI) datasets enhances statistical power and generalizability in neuroimaging research but introduces systematic variability, known as site effects, that can obscure true biological signals.
Yuxing Hao +5 more
doaj +1 more source
A multivariate generalized independent factor GARCH model with an application to financial stock returns [PDF]
We propose a new multivariate factor GARCH model, the GICA-GARCH model , where the data are assumed to be generated by a set of independent components (ICs).
Antonio García-Ferrer +2 more
core
The principal independent components of images [PDF]
, 2010 This paper proposes a new approach for the encoding of images by only a few important components. Classically, this is done by the Principal Component Analysis (PCA).
Brause, Rüdiger W., Arlt, Björn
core
The Role and Assessment of Lipid Profile in Patients With a Chronic Total Coronary Occlusion
Lipids, EarlyView.This review summarized evidence on lipid profiles in CTO patients, non‐CTO patients, and healthy individuals, and examined the reported associations between lipid parameters, collateral channel formation, and clinical outcomes. Several key findings emerged from the present study.
Karol Sadowski +11 more
wiley +1 more source
Blind Source Separation of Single-Channel Ship Radiated Noise Based on VMD-FastICA
水下无人系统学报To address the challenge of separating different target ship radiated noise signals from mixed signals under extreme conditions where only a single-channel signal is available, a blind source separation algorithm under single-channel conditions was ...
Yuwei LI, Huiyuan WANG
doaj +1 more source
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To introduce a robust approach for non‐contrast‐enhanced free‐breathing functional lung MRI based on independent component analysis (ICA), addressing key limitations of standard methods such as sensitivity to irregular breathing or irregular heartbeat.
Laura Rozo Pardo +8 more
wiley +1 more source
Mesenchymal stem cells as cellular factories for targeted P2X7 blockade after traumatic brain injury
Neuroprotection, EarlyView.This manuscript presents a novel therapeutic strategy using mesenchymal stem cells (MSCs) engineered as living drug factories to deliver a P2X7‐blocking nanobody for treatment of ischemic stroke. By combining targeted cellular delivery with sustained local immunomodulation, the approach aims to overcome key limitations of systemic biologic ...
Lucia Fadon‐Padilla +8 more
wiley +1 more source
Optimization Of Ann-Training Geometric Algorithm In Independent Component Analysis (Ica)
, 2014 One of the most actual tasks of information processing today is the problem of separating a mixture of several sources of signals. Moreover, the solution requires the on-line processing mode. With this task successfully cope artificial neural networks (ANN). But for stable operation of the system, the ANN require training on specific algorithms.
Yakubovsky Dmitry +3 more
openaire +1 more source