DISCRIMINABILITY

作品数：3被引量：3H指数：1
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相关期刊：《Journal of Rare Earths》《The Journal of China Universities of Posts and Telecommunications》《Computational Visual Media》更多>>
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Image-guided color mapping for categorical data visualization被引量：2
《Computational Visual Media》2022年第4期613-629,共17页Qian Zheng Min Lu Sicong Wu Ruizhen Hu Joel Lanir Hui Huang 
supported in parts by National Natural Science Foundation of China(U2001206,61872250);GD Talent Program(2019JC05X328);GD Natural Science Foundation(2020A0505100064,2021B1515020085);DEGP Key Project(2018KZDXM058);Shenzhen Science and Technology Key Program(RCJC20200714114435012,JCYJ20210324120213036).
Appropriate color mapping for categorical data visualization can significantly facilitate the discovery of underlying data patterns and effectively bring out visual aesthetics.Some systems suggest pre-defined palettes...
关键词：color palette DISCRIMINABILITY IMAGE-GUIDED categorical data visualization 
An optical thermometer with high sensitivity and superior signal discriminability based on dual-emitting Ce^(3+)/Eu^(2+)co-doped La5Si2BO13 thermochromic phosphor被引量：1
《Journal of Rare Earths》2021年第11期1311-1319,I0001,共10页Fuwen Liu Ying Tian Degang Deng Ming Wu Bowen Chen Liuyan Zhou Shiqing Xu 
Project supported by Natural Science Foundation of Zhejiang Province,China(LY19E020005);Science and Technology Innovation Platform and Talent Plan of Zhejiang(2017R52037)。
A novel non-contact optical thermometer,qualified with high sensitivity and temperature resolution,is urgently needed for temperature measuring of micro devices,moving objects and specific severe environments.Hence,a ...
关键词：La_(5)Si_(2)BO_(13) FIR Optical thermometry Energy transfer Rare earths 
Improved discriminative training for generative model
《The Journal of China Universities of Posts and Telecommunications》2009年第3期126-130,共5页WU Ya-hui,GUO Jun,LIU Gang Laboratory of Pattern Recognition and Intelligent System,Beijing University of Posts and Telecommunications,Beijing 100876,China 
supported by the National Natural Science Foundation of China(60705019);the Hi-Tech Research and Development Program of China(2006AA010102,2007AA01Z417)
This article proposes a model combination method to enhance the discriminability of the generative model. Generative and discriminative models have different optimization objectives and have their own advantages and d...
关键词：model combination DISCRIMINABILITY generative model TRAINING speech recognition 
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