Results 61 to 70 of about 6,889,850 (329)
Leida xuebao, 2021 A recognition method combining Cameron decomposition and fusing Reduced Kernel Extreme Learning Machine (RKELM) is proposed for the Full Polarimetric (FP) High Resolution Range Profile (HRRP)-based radar target recognition task. In the feature extraction
Jingjing WANG +3 more
doaj +1 more source
Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods [PDF]
, 2015 Training neural networks is a challenging non-convex optimization problem, and backpropagation or gradient descent can get stuck in spurious local optima.
Anandkumar, Anima +2 more
core +3 more sources
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Seasonal Analysis of Polarimetric Responses Utilizing Ku-Band GB-SAR Time Series Data
IEEE AccessThis study evaluated the seasonal dynamics of $H/\bar {\alpha }$ target decomposition parameters derived from the spatially and temporally averaged coherence matrix of fully polarimetric Ku-band GB-SAR time series data over a one-year analysis period ...
Dandy Aditya Novresiandi +4 more
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An Enhanced Image Patch Tensor Decomposition for Infrared Small Target Detection
Remote Sensing, 2022 Infrared small-target detection is a key technology for the infrared search and track system (IRST), but some problems still exist, such as false detections in complex backgrounds and clutter.
Ziling Lu +4 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Apolipoprotein ε4 (APOE ε4) is a potent genetic risk factor for Alzheimer's disease (AD). However, its role in cerebral small vessel disease (CSVD) remains unclear. Given the clinical and pathological similarities between CSVD and AD, this study aimed to investigate the associations of APOE ε4 gene dosage with cognitive function and
Tingru Jin +6 more
wiley +1 more source
A range spread target detection algorithm based on polarimetric features and SVDD
Dianxin kexue, 2023 Multi-polarization range high resolution radar is an important mean for ground target detection.In the echo formed by it, the target occupies multiple range cells and becomes an extended target.The traditional spread target detection method relies on ...
Qiang LI, Yuanxin YAO, Xiangqi KONG
doaj +2 more sources
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition
, 2019 Product reviews and ratings on e-commerce websites provide customers with detailed insights about various aspects of the product such as quality, usefulness, etc.
Feng S. +6 more
core +1 more source
Target decomposition theorems in radar scattering
Electronics Letters, 1985 By converting the coherent scattering matrix into a target vector, the concept of a coherency matrix may be introduced for characterising statistical scattering problems involving polarised waves. This technique is compared with the more conventional Mueller matrix formalism and a unique decomposition theorem developed for modelling dynamic scattering ...
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Curvelet decomposition for detection of cylindrical targets [PDF]
2008 15th IEEE International Conference on Image Processing, 2008 Curvelets are a multiscale system with very high directional sensitivity. A new detection algorithm is herein described which operates on a curvelet decomposition of acoustic imagery. The algorithm detects the presence of cylindrical targets through a statistical mapping of curvelet coefficients.
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