نتایج جستجو برای: background modeling

تعداد نتایج: 1210863  

Journal: :IEEE Transactions on Circuits and Systems for Video Technology 2011

Journal: :MATEC web of conferences 2022

The construction industry is the driving force and pillar of my country’s economic development. In recent years, due to increasing difficulty long period, traditional technology safety management mode no longer suitable for modern projects. Construction accidents also occur frequently threaten personal workers has caused a serious negative impact on enterprises. application BIM building informa...

Journal: :Physical review 2021

Ultralight bosons, which are predicted in a variety of beyond-Standard-Model scenarios as dark-matter candidates, can trigger the superradiant instability around spinning black holes. This gives rise to oscillating boson condensates then dissipate through emission nearly monochromatic gravitational waves. Such systems promising sources for current and future gravitational-wave detectors. In thi...

Journal: :Bioinformatics 2007
Yanxin Shi Michael Klutstein Itamar Simon Tom M. Mitchell Ziv Bar-Joseph

MOTIVATION When analyzing expression experiments, researchers are often interested in identifying the set of biological processes that are up- or down-regulated under the experimental condition studied. Current approaches, including clustering expression profiles and averaging the expression profiles of genes known to participate in specific processes, fail to provide an accurate estimate of th...

Journal: :Pedagogy of the formation of a creative person in higher and secondary schools 2020

Journal: :European Physical Journal C 2021

Abstract We present a background model for dark matter searches using an array of NaI(Tl) crystals in the COSINE-100 experiment that is located Yangyang underground laboratory. The includes contributions from both internal and external sources, including cosmogenic radionuclides surface $$^{210}$$ 210</mml...

2008
András Lörincz

There is surmounting evidence that reinforcement learning (RL) is a good model for the dopamine system of the brain and the prefrontal cortex. RL is also promising from the algorithmic point of view, because recent factored RL algorithms have favorable convergence and scaling properties and can counteract the curse of dimensionality problem, the major obstacle of practical applications of RL me...

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