Results 121 to 130 of about 615,528 (247)
Weakly Convex Ridge Regularization for 3D Non‐Cartesian MRI Reconstruction
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose While highly accelerated non‐Cartesian acquisition protocols significantly reduce scan time, they often entail long reconstruction delays for 3D data. Deep learning–based reconstruction methods can alleviate this, but typically rely on complex, highly parametrized architectures.
German Shâma Wache +3 more
wiley +1 more source
Blur kernel estimation approach to blind reverberation time estimation
, 2015 Reverberation time is an important parameter for characterizing acoustic environments. It is useful in many applications including acoustic scene analysis, robust automatic speech recognition and dereverberation.
Felicia Lim +2 more
core +1 more source
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To propose a self‐supervised variational manifold learning framework for dynamic upper‐airway MRI reconstruction in obstructive sleep apnea from prospectively under‐sampled spiral data during natural sleep, without requiring fully sampled training data.
Md Shahin Ali +6 more
wiley +1 more source
Blur kernel estimation in single noisy image deblurring
, 2014 Restoring blurred images is challenging because both the blur kernel and the sharp image are unknown, which makes this problem severely underconstrained.
Sun SJ(孙士洁) +2 more
core
Locally linear approximation for Kernel methods : the Railway Kernel [PDF]
, 2008 In this paper we present a new kernel, the Railway Kernel, that works properly for general (nonlinear) classification problems, with the interesting property that acts locally as a linear kernel.
González, Javier, Muñoz, Alberto
core
Near Surface Geophysics, EarlyView.Abstract This study focuses on characterising a strong and unexpected anomaly observed during an electromagnetic induction (EMI) survey conducted on the chalk cliff plateau at Sainte‐Marguerite‐sur‐Mer, in the Normandy region, France. The site was selected for a long‐term study of chalk cliff coastal erosion that began in 2017 and has been studied for ...
Sarah Thuillier +3 more
wiley +1 more source
Estimation of perceived image blur
, 1994 Sharpness is an important basic attribute of image quality. The spread of the blurring kernel is a good objective correlate of sharpness. Hence, by estimating the spread of the blurring kernel from a blurred image, lhe sharpness in the image can be ...
Kayargadde, V., Martens, J.B.O.S.
core
Formation Control With Obstacle Avoidance of Underwater Swarms Based on Relative Visual Feedback
Journal of Field Robotics, EarlyView.ABSTRACT Underwater multi‐robot and swarm systems require advanced methodologies for controlling collective behavior. Conventional single‐robot techniques, such as tethering, sonar imaging, and acoustic localization, are not scalable or effective for swarm applications.
Andrea Infanti +7 more
wiley +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.Brazil's Cerrado valley wetlands—swamp savanna and gallery forest—are highly important for the biome's water cycle and carbon storage and are susceptible to degradation from the impacts of land use expansion and the climate crisis. In support of their detailed monitoring and assessment, we developed and tested a transferable mapping approach that ...
Felix Beer +6 more
wiley +1 more source
Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models
International Journal of Satellite Communications and Networking, EarlyView.ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel +2 more
wiley +1 more source