Results 51 to 60 of about 160,535 (190)
IEEE Access, 2019 Although there have been many successful multiclassification models in the field of image recognition in recent years, adding new classes to the trained models remains a research focus.
Yaosong Cheng +3 more
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SWPanGAN: A hybrid generative adversarial network for pansharpening
IET Image ProcessingPansharpening is a vital technique in remote sensing that combines a low‐resolution multi‐spectral image with its corresponding panchromatic image to obtain a high‐resolution multi‐spectral image.
Bo Huang, Xiongfei Li, Xiaoli Zhang
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Batch Mode Active Learning for Node Classification in Assortative and Disassortative Networks
IEEE Access, 2018 Active learning for networked data that focuses on predicting the labels of other nodes accurately by knowing the labels of a small subset of nodes is attracting more and more researchers because it is very useful especially in cases, where labeled data ...
Shuqiu Ping +5 more
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Comparing Powers of Edge Ideals [PDF]
, 2018 Given a nontrivial homogeneous ideal $I\subseteq k[x_1,x_2,\ldots,x_d]$, a problem of great recent interest has been the comparison of the $r$th ordinary power of $I$ and the $m$th symbolic power $I^{(m)}$.
Janssen, Mike +2 more
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Slavnov-Taylor1.0: A Mathematica package for computation in BRST formalism
, 2003 Slavnov-Taylor 1.0 is a Mathematica package which allows us to perform automatic symbolic computation in BRST formalism. This article serves as a self-contained guide to prospective users, and indicates the conventions and approximations used.Comment: 1 ...
Dudal +13 more
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The single-mass variable flavor number scheme at three-loop order
Journal of High Energy PhysicsThe matching relations in the unpolarized and polarized variable flavor number scheme at three-loop order are presented in the single-mass case. They describe the process of massive quarks becoming light at large virtualities Q 2.
J. Ablinger +6 more
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Symbolic computations of nonlinear observability [PDF]
Physical Review E, 2015 Observability is a very useful concept for determining whether the dynamics of complicated systems can be correctly reconstructed from a single (univariate or multivariate) time series. When the governing equations of dynamical systems are high-dimensional and/or rational, analytical computations of observability coefficients produce large polynomial ...
Bianco-Martinez, Ezequiel +2 more
openaire +3 more sources
Entropy, 2019 Over recent decades, the rapid growth in data makes ever more urgent the quest for highly scalable Bayesian networks that have better classification performance and expressivity (that is, capacity to respectively describe dependence relationships between
LiMin Wang +4 more
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IDDSAM: An Integrated Disease Diagnosis and Severity Assessment Model for Intensive Care Units
IEEE Access, 2020 People are admitted to intensive care units (ICUs) because they need complete support for failing organ systems, constant monitoring, routine nursing care, and treatment.
Zhenkun Shi +5 more
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Neural-Symbolic Learning and Reasoning: Contributions and Challenges [PDF]
, 2015 The goal of neural-symbolic computation is to integrate robust connectionist learning and sound symbolic reasoning. With the recent advances in connectionist learning, in particular deep neural networks, forms of representation learning have emerged ...
Besold, T. R. +9 more
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