Results 111 to 120 of about 247,748 (272)
Fast Image Super-resolution with Sparse Coding
MATEC Web of Conferences, 2016 In this paper, we introduce a novel fast image reconstruction method for super-resolution (SR) base on sparse coding. This method combine online dictionary learning and a fast sparse coding way, both of which can improve the efficiency of the ...
Yuan Zhi-chao, Li Ben-tu
doaj +1 more source
Effect Evaluation of Dexmedetomidine Intravenous Anesthesia on Postoperative Agitation in Patients with Craniocerebral Injury by Magnetic Resonance Imaging Based on Sparse Reconstruction Algorithm. [PDF]
Contrast Media Mol Imaging, 2022 Feng X, Feng X, Zhao B, Wang Y.
europepmc +1 more source
L0 constrained sparse reconstruction for multi-slice helical CT reconstruction
Physics in Medicine and Biology, 2011 In this paper, we present a Bayesian maximum a posteriori method for multi-slice helical CT reconstruction based on an L0-norm prior. It makes use of a very low number of projections. A set of surrogate potential functions is used to successively approximate the L0-norm function while generating the prior and to accelerate the convergence speed ...
Hu, Yining +4 more
openaire +4 more sources
Advanced Robotics Research, EarlyView.Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
Leida xuebao, 2018 Three-Dimensional (3-D) Interferometric Inverse Synthetic Aperture Radar (InISAR) imaging system based on the orthogonal double baseline can achieve the 3-D geometric reconstruction of a target effectively, which is extremely helpful in target ...
Wang Yong, Chen Xuefei
doaj +1 more source
Advanced Robotics Research, EarlyView.This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Real-time dynamic vocal tract imaging using an accelerated spiral GRE sequence and low rank plus sparse reconstruction. [PDF]
Magn Reson Imaging, 2021 Feng X, Wang Z, Meyer CH.
europepmc +1 more source
A comprehensive study of sparse codes on abnormality detection
, 2016 Sparse representation has been applied successfully in abnormal event detection, in which the baseline is to learn a dictionary accompanied by sparse codes.
Moeslund, Thomas B. +3 more
core
Ovarian Matrisome Dynamics and αvβ3‐Mediated Regulation in Early Follicular Development
Advanced Science, EarlyView.The matrisome undergoes dynamic remodeling during early follicular development. Integrin αvβ3 mediates matrisome signals, regulating primordial follicle activation/atresia and secondary follicle growth via Hippo/mTOR pathways, with conserved roles in human ovaries, offering therapeutic targets for ovarian disorders.
Tong Wu +12 more
wiley +1 more source
QBP1 Peptide as a Potential Anti‐Amyloidogenic Therapy for Type 2 Diabetes: An In Vitro Study
Advanced Science, EarlyView.The anti‐amyloidogenic peptide QBP1 effectively halts human islet amyloid polypeptide (hIAPP) aggregation, preventing the formation of toxic β‐structured intermediates. Through a combination of biophysical assays, molecular dynamics, and cell‐based studies, QBP1 is shown to preserve β‐cell viability and metabolic homeostasis, positioning it as a ...
María M. Tejero‐Ojeda +8 more
wiley +1 more source