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Six a day to improve immunitySleep a good sleep: sleep bad and lower the immune system. T cells in the body responsible for dealing with viruses and cancer, if it is not enough sleep, T cells will reduce the number of increased risk of illness. Do not have to睡足eight hours, as long as the morning wake up can feel the spirit of ease.Do some sports: sports daily 30-45 minutes, will increase the number of immune cells, will be a corresponding increase in resistance. However, the movement is too intense or if more than one hours time, the body will produce hormones, suppress immune system activity.Do a massage: massage to relax the body, reducing stress. Daily 45-minute massage, a month later, there will be significant improvement in immune function.Make a return to daydreaming: 5 minutes a day of daydreaming while deep breathing while doing build castles in the air, so pleasant screen passes from the brain, immune cells can increase the number and activity.To participate in an art activity: a marked increase in interferon can laugh, immune cells become more active. If the claims lack a sense of humor, you can see more comedy, funny cartoons. Music can increase the fight against infection and cancer of the antibody, regardless of what kind of music like to listen to when the health of all physiological responses to stimulation.Exchange with a friend: a friend and more people, not only is not easy to colds, immune function than those who eccentric character well. Some studies have shown that good social relations will be conducive to fight against pressure, reducing stress, affects the immune cell function.
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The authors develop and test a multiclassifier-based near-real-time face detection system based on the premise that a three-part strategy is necessary for designing real-time face detection systems that provide high detection rates. The critical factors for real-time face detection are based on a framework of multiple classification functions: (1) a skin classification function is used as the preliminary stage in order to prune the search, localize the computation, and therefore improve performance time; (2) subsequently, three coarse-to-fine statistical model based classifiers are used to scan the windows and discard most non-face windows; and (3) finally, faces and non-faces are veri�0�3ed from images. The bagging ensemble algorithm (bootstrap aggregating) is also applied to improve the performance of detection rates. 这是在网上找的 但愿你有用！
金夫人照相馆
到国外的关于的自动化的杂志的网站上copy一篇文章的摘要就可以了找了一个自动化杂志的网站，你随便找个文章的摘要应该都符合你的要求。例如下面的摘要Theauthorsdevelopandtestamulticlassifier-basednear-real-timefacedetectionsystembasedonthepremisethatathree-partstrategyisnecessaryfordesigningreal-timefacedetectionsystemsthatprovidehighdetectionrates.Thecriticalfactorsforreal-timefacedetectionarebasedonaframeworkofmultipleclassificationfunctions:(1)askinclassificationfunctionisusedasthepreliminarystageinordertoprunethesearch,localizethecomputation,andthereforeimproveperformancetime;(2)subsequently,threecoarse-to-finestatisticalmodelbasedclassifiersareusedtoscanthewindowsanddiscardmostnon-facewindows;and(3)finally,facesandnon-facesareveri??edfromimages.Thebaggingensemblealgorithm(bootstrapaggregating)isalsoappliedtoimprovetheperformanceofdetectionrates.
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