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【推荐】2019 Java 开发者跳槽指南.pdf(吐血整理) >>> CHMOD(1) User Commands CHMOD(1) NAME chmod - change file mode bits SYNOPSIS chmod [OPTION]... MODE[,MODE]... FILE... chmod [OPTION]... OCTAL-MODE FILE... chmod [OPTION]... --reference=RFILE FILE... DESCRIPTION This manual page documents the GNU version of chmod. chmod changes the file mode bits of each given file according to mode, which can be either a symbolic representation of changes to make, or an octal number representing the bit pattern for the new mode bits. The format of a symbolic mode is [ugoa...][[+-=][perms...]...], where perms is either zero or

Highlight Detection with Pairwise Deep Ranking for First-Person Video Summarization Abstract 诸如便携式相机和智能眼镜之类的可穿戴设备的出现使录制生活记录的第一人称视频成为可能。浏览这么长的非结构化视频既费时又乏味。本文研究了视频中用户最感兴趣或最感兴趣的时刻（即精彩时刻）的发现，以生成第一人称视频的摘要。具体来说，我们提出了一种新颖的成对深度排名模型，该模型采用深度学习技术来学习高光和非高光视频片段之间的关系。通过从视频帧的外观和跨帧的时间动态方面的补充信息中表示视频片段，开发出一种两流网络结构，用于视频高亮检测。给定配备了高光检测模型的较长的个人视频，则将高光得分分配给每个片段。所获得的精彩片段以两种方式应用于摘要：视频间隔拍摄和视频剪辑。前者以低（高）速度播放亮点（非突出）片段，而后者则组合得分最高的片段序列。在15个独特运动类别的100小时第一人称视频中，我们的重点检测功能使最新的RankSVM方法的准确性提高了10.5％。此外，我们的方法通过对35个人类受试者的用户研究产生了质量更高的视频摘要。 The emergence of wearable devices such as portable cameras and smart glasses makes it possible

for_each() for_each: 用指定函数依次对指定范围内所有元素进行迭代访问。该函数不得修改 序列中的元素。 函数定义。for_each(begin, end, func); template<class _InIt, class _Fn1> inline _Fn1 for_each(_InIt _First, _InIt _Last, _Fn1 _Func) { // perform function for each element _DEBUG_RANGE(_First, _Last); _DEBUG_POINTER(_Func); return (_For_each(_Unchecked(_First), _Unchecked(_Last), _Func)); } 注意 for_each 的第三个参数 函数对象做函数参数，函数对象做返回值 class CMyShow { public: CMyShow() { num = 0; } void operator()(const int &iItem) { num ++; cout << iItem; } void printCount() { cout << "num:" << num << endl; } private: int num; }; void show(const int &iItem) {

回到目录 Spark Programming Guide Overview Linking with Spark Initializing Spark Using the Shell Resilient Distributed Datasets (RDDs) Parallelized Collections External Datasets RDD Operations Basics Passing Functions to Spark Working with Key-Value Pairs Transformations Actions RDD Persistence Which Storage Level to Choose? Removing Data Shared Variables Broadcast Variables Accumulators Deploying to a Cluster Unit Testing Migrating from pre-1.0 Versions of Spark Where to Go from Here Overview At a high level, every Spark application consists of a driver program that runs the user’s main function