Results 21 to 30 of about 48,655 (263)
Moment Matching Denoising Gibbs Sampling
Energy-Based Models (EBMs) offer a versatile framework for modeling complex data distributions. However, training and sampling from EBMs continue to pose significant challenges. The widely-used Denoising Score Matching (DSM) method for scalable EBM training suffers from inconsistency issues, causing the energy model to learn a `noisy' data distribution.
Mingtian Zhang +3 more
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Optical and SAR image registration is the primary procedure to exploit the complementary information from the two different image modal types. Although extensive research has been conducted to narrow down the vast radiometric and geometric gaps so as to ...
Han Zhang +6 more
doaj +1 more source
Study on terrain radiant correction of high spatial resolution image of mountainous area
High spatial resolution remote sensing images such as satellite image and airborne image are much widely used in agriculture, forestry recourses inventory and the mountain ecology monitoring area.
ZHANG Chao +4 more
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One-loop matching of the CP-odd three-gluon operator to the gradient flow
The calculation of the neutron electric dipole moment within effective field theories for physics beyond the Standard Model requires non-perturbative hadronic matrix elements of effective operators composed of quark and gluon fields.
Òscar L. Crosas +4 more
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Generative Moment Matching Networks
We consider the problem of learning deep generative models from data. We formulate a method that generates an independent sample via a single feedforward pass through a multilayer perceptron, as in the recently proposed generative adversarial networks (Goodfellow et al., 2014).
Yujia Li 0001 +2 more
openaire +3 more sources
Research on an Underwater Target-Tracking Method Based on Zernike Moment Feature Matching
Sonar images have the characteristics of lower resolution and blurrier edges compared to optical images, which make the feature-matching method in underwater target tracking less robust.
Wenhan Gao +7 more
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Deep Transfer Learning Method Based on Automatic Domain Alignment and Moment Matching
Domain discrepancy is a key research problem in the field of deep domain adaptation. Two main strategies are used to reduce the discrepancy: the parametric method and the nonparametric method.
Jingui Zhang +4 more
doaj +1 more source
One-loop matching of CP-odd four-quark operators to the gradient-flow scheme
The translation of experimental limits on the neutron electric dipole moment into constraints on heavy CP-violating physics beyond the Standard Model requires knowledge about non-perturbative matrix elements of effective operators, which ideally should ...
Jona Bühler, Peter Stoffer
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Moment-Based Stochastic Analysis of a Bistable Energy Harvester with Matching Network
We discuss the analysis of a piezoelectric energy harvester for random mechanical vibrations, and we assess the performance improvement guaranteed by interposing a matching network between the transducer and the electrical load, in terms of average ...
Kailing Song +3 more
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Structured Model Order Reduction of System-Level Power Delivery Networks
This paper proposes a comprehensive model order reduction framework to enable fast power integrity verification at the system level. This approach is developed to compress models of complete power delivery networks of high-end multiprocessor systems ...
Antonio Carlucci +3 more
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