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    • 3. 发明公开
    • OPTICAL FIBER PERIMETER INTRUSION SIGNAL IDENTIFICATION METHOD AND DEVICE, AND PERIMETER INTRUSION ALARM SYSTEM
    • 光纤周界信号识别方法和装置以及周界入侵报警系统
    • EP3321859A1
    • 2018-05-16
    • EP16840792.2
    • 2016-08-26
    • Nuctech Company Limited
    • CONG, YushuJIANG, TingXU, JunYANG, JieGAO, BaisongXU, HuikangTONG, YianDONG, KunMAO, Xianhui
    • G06K9/62G08B13/186
    • G06K9/62G08B13/186
    • An optical fiber perimeter intrusion signal identification method (10), identification device (30) and optical fiber perimeter intrusion alarm system (40). The identification method (10) comprises: acquiring a real-time signal from a monitoring signal of an optical fiber perimeter monitoring system; pre-processing the real-time signal to remove noises; determining whether the denoised real-time signal is an intrusion signal; if so, truncating the intrusion signal to acquire signal segments of the intrusion signal, and extracting relevant characteristic variables of respective signal segments; and classifying the intrusion signal according to a
      classification rule determined by a pre-established decision tree model and the relevant characteristic variables of the signal segments. The method is simple, easy to implement, and has a high capability and good effect of intrusion signal classification.
    • 一种光纤周界入侵信号识别方法(10),识别装置(30)和光纤周界入侵报警系统(40)。 该识别方法(10)包括:从光纤周边监测系统的监测信号中获取实时信号; 预处理实时信号以消除噪音; 确定去噪后的实时信号是否是入侵信号; 如果是,则截取入侵信号以获取入侵信号的信号段,并提取各个信号段的相关特征变量; 根据预先建立的决策树模型确定的分类规则和所述信号分段的相关特征变量对入侵信号进行分类。 该方法简单,易于实现,具有较高的能力和良好的入侵信号分类效果。
    • 8. 发明公开
    • DOMAIN ADAPTATION FOR IMAGE CLASSIFICATION WITH CLASS PRIORS
    • DOMÄNENANPASSUNGZUR BILDKLASSIFIZIERUNG MIT KLOCENPRIOREN
    • EP2993618A1
    • 2016-03-09
    • EP15181884.6
    • 2015-08-20
    • Xerox Corporation
    • CHIDLOVSKII, BorisCSURKA, Gabriela
    • G06K9/00G06K9/62
    • G06K9/6259G06K9/00624G06K9/00771G06K9/00785G06K9/46G06K9/62G06K9/6217G06K9/6256G06K9/6257G06K9/6267G06K9/627G06K9/6288
    • In camera-based object labeling, boost classifier f T x = ∑ r = 1 M β r h r x is trained to classify an image represented by feature vector x using a target domain training set D T of labeled feature vectors representing images acquired by the same camera and a plurality of source domain training sets D S 1 ,...,D S N acquired by other cameras. The training applies an adaptive boosting (AdaBoost) algorithm to generate base classifiers h r (x) and weights β r . The r th iteration of the AdaBoost algorithm trains candidate base classifiers h r k x each trained on a training set D T UD S k , and selects h r (x) from previously trained candidate base classifiers. The target domain training set D T may be expanded based on a prior estimate of the labels distribution for the target domain. The object labeling system may be a vehicle identification system, a machine vision article inspection system, or so forth.
    • 在基于相机的对象标签中,训练分类器f T x ='r = 1 M 2 rhrx被训练为使用由表示相同相机获取的图像的标记特征向量的目标域训练集DT来对由特征向量x表示的图像进行分类 以及由其他相机获取的多个源域训练集DS 1,...,DS N。 训练采用自适应增强(AdaBoost)算法生成基本分类器h r(x)和权重r。 AdaBoost算法的第r次迭代训练在训练集D T UD S k上训练的候选基本分类器h r k x,并且从先前训练的候选基本分类器中选择h r(x)。 可以基于目标域的标签分布的先前估计来扩展目标域训练集D T。 对象标注系统可以是车辆识别系统,机器视觉物品检查系统等。
    • 9. 发明公开
    • INDEXING APPLICATION PAGES OF NATIVE APPLICATIONS
    • INDEXIERUNG VON ANWENDUNGSSEITEN NATIVER ANWENDUNGEN
    • EP2946316A1
    • 2015-11-25
    • EP14740959.3
    • 2014-01-13
    • Google Inc.
    • CHANG, LawrenceJUNG, ChaesangYEOM, JaehyunLEE, Sang-il
    • G06F17/30G06F3/048G06F3/14
    • G06F17/30876G06F9/45533G06F17/30321G06F17/30336G06F17/30864G06K9/3283G06K9/62G06K2209/01
    • Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for indexing application pages of native applications that operate independent of a browser application on a user device. In one aspect, a method includes instantiating a virtual machine emulating an operating system of a user device; instantiating, within the virtual machine, a native application that generates application pages for display on a user device within the native application; accessing, within the virtual machine, application pages of the native application, and for each of the application pages: generating application page data describing content of the application page, the content described by the application page data including text that a user device displays on the application page when the user device displays the application page; and indexing the application page data for the native application in an index that is searchable by a search engine.
    • 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于索引独立于用户设备上的浏览器应用的本机应用程序的应用页面。 一方面,一种方法包括实例化仿真用户设备的操作系统的虚拟机; 在虚拟机内实例化生成应用页面以在本机应用内的用户设备上显示的本地应用程序; 在虚拟机内访问本机应用的应用页面以及每个应用页面:生成描述应用页面的内容的应用页面数据,由应用页面数据描述的内容,包括用户设备在其上显示的文本 用户设备显示应用页面时的应用页面; 以及在搜索引擎可搜索的索引中索引本机应用的应用页面数据。