Face verification remains a challenging problem in very complex conditions with large variations such as pose, illumination, expression, and occlusions. This problem is exacerbated when we rely unrealistically on a single training data source, which…

Everybody has had the experience of not recognising someone they know—changes in pose, illumination and expression all make the task tricky. So it’s not surprising that computer vision systems have similar problems. Indeed, no computer vision system…

About this Course You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been…

FIELD OF THE INVENTION The present invention is related to computing systems, and more particularly to a system and method for adjusting to changes in processor performance. BACKGROUND INFORMATION Designers of mobile computing platforms are faced wit…

@http://www-cs-faculty.stanford.edu/people/karpathy/cvpr2015papers/ CVPR 2015 papers (in nicer format than this) maintained by @karpathy NEW: This year I also embedded the (1,2-gram) tfidf vectors of all papers with t-sne and placed them in an interf…

本周课程的主题是两大应用:人脸检测和风格迁移. 1. Face verification vs. face recognition Verification: 一对一的问题. 1) 输入:image, name/ID. 2) 输出:image是否对应这个name/ID. Recognition: 一对多的问题. 1) 数据库存了K个人. 2)输入:图片. 3)输出:如果图片中的人属于数据库,则输出ID:否则显示"not recognized". Verification是基础组建,正确…

Rolling in the Deep (Learning) Deep Learning has been getting a lot of press lately, and is one of the hottest the buzz terms in Tech these days. Just check out one of the few recent headlines from Forbes, MIT Tech Review and you will surely see thes…

Linux TCP Performance Tuning News Linux Performance Tuning Recommended Books Recommended Links Linux performance bottlenecks Kernel parameters tuning on Linux Performance Monitoring tcpdump iptraf netstat ntop nfsstat lsof vmstat Disk subsystem tunin…

Andrej Karpathy blog About Hacker's guide to Neural Networks Deep Reinforcement Learning: Pong from Pixels May 31, 2016 This is a long overdue blog post on Reinforcement Learning (RL). RL is hot! You may have noticed that computers can now automatica…

神经网络基础 Deep learning就是深层神经网络 神经网络的结构如下, 这是两层神经网络,输入层一般不算在内,分别是hidden layer和output layer hidden layer中的一个神经元的结构如下, 可以看出这里的神经元结构等同于一个逻辑回归单元,神经元都是由线性部分和非线性部分组成 非线性部分,又称为激活函数,这里用的是sigmod,也可以用其他,比如relu或tanh 为什么要用激活函数? 因为既然要用神经网络去拟合任意function,光用线性拟合是不行的,因为…

ResNet, AlexNet, VGG, Inception: Understanding various architectures of Convolutional Networks by KOUSTUBH        this blog from: http://cv-tricks.com/cnn/understand-resnet-alexnet-vgg-inception/ Convolutional neural networks are fantastic for visual…

this blog from: https://opendatascience.com/blog/notes-on-representation-learning-1/   Notes on Representation Learning By Zac Kriegman, Senior Data Scientist in the Thomson Reuters Data Innovation Lab | 02/07/2017 Tags: Deep Learning , Neural Networ…

一年一度的 NIPS 又来了.今年举办地是笔者最爱的欧洲城市巴塞罗那.阳光沙滩配学术,确实很爽.这次的会议的第一天开场的大部分时间安排给了 tutorial.其中人数爆满的依旧是吴恩达(AndrewNg)的 session.笔者在此总结一下他的 tutorial 内容.一如以往的风格,这次吴恩达博士(有趣的是,本次官方介绍他的时候 使用的是 Dr. 而不是 Prof.)在台上也是纯白板讲演. 开场的时候,他问了一下全场观众哪些是来自工业界.哗哗哗,全场接近 50% 的观众举手了.确实,这几年的…

http://blog.csdn.net/garfielder007/article/details/51480525 New (draft) survey paper: Labeled Faces in the Wild: A SurveyErik Learned-Miller, Gary Huang, Aruni RoyChowdhury, Haoxiang Li, Gang Hua The camera-ready has not yet been submitted. If you se…

orthogonalization/ one metric train.dev/test 划分 开发集和测试集一定来自同一分布  onthe  same distribution Human level performance & bayes error human level performance 接近 bayes error,training error 和 bayes 的差距 : bias(avoidable error),dev/test error: variance,决定先调优bi…

最近在看机器学习,看能否根据已有的历史来预测Hardware的故障发生概率.下文是一篇很有意思的文章,转自 http://numenta.org/htm.html. NuPIC是一个开源项目,用来实现HTM. ------------------- There are many things humans find easy to do that computers are currently unable to do. Tasks such as visual pattern recognit…

About this Course This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good res…

一下摘自:https://blog.csdn.net/Fire_Light_/article/details/79602705 论文链接:ArcFace: Additive Angular Margin Loss for Deep Face Recognition 作者开源代码:https://github.com/deepinsight/insightface 这篇论文原名是ArcFace,但是由于与虹软重名,后改名为Insight Face. 其实这篇论文可以看作是AmSoftmax的一种改…

http://www.datamation.com/open-source/ Accessibility 1. The Accessibility Project The Business Value of Cisco UCS Integrated Infrastructure Solutions for Running SAP Workloads Download Now Launched in 2013, this site aims to provide information on ma…

  SANDY BRIDGE SPANS GENERATIONS Intel Focuses on Graphics, Multimedia in New Processor Design By Linley Gwennap  {9/27/10-01} ................................................................................................................... Intel’s…

1. perf perf 是一个调查 Linux 中各种性能问题的有力工具. NAME perf - Performance analysis tools for Linux SYNOPSIS perf [--version] [--help] COMMAND [ARGS] DESCRIPTION Performance counters for Linux are a new kernel-based subsystem that provide a framework for all thi…

https://en.wikipedia.org/wiki/Information_retrieval 信息检索 (一种信息技术) 信息检索(Information Retrieval)是指信息按一定的方式组织起来, 并根据信息用户的需要找出有关的信息的过程和技术.狭义的信息检索就是信息检索过程的后半部分,即从信息集合中找出所需要的信息的过程,也就是我们常说的 信息查寻(Information Search 或Information Seek).一般情况下,信息检索指的就是广义的信息检索. 信息…

Dueling Network Architectures for Deep Reinforcement Learning ICML 2016 Best Paper 摘要:本文的贡献点主要是在 DQN 网络结构上,将卷积神经网络提出的特征,分为两路走,即:the state value function 和 the state-dependent action advantage function. 这个设计的主要特色在于 generalize learning across actions w…

For a current project at WhoScored, I needed to learn JavaScript, Node.js and WebSocket channel, after seven years of writing web applications with Java and Spring framework. We wanted an application that can send data to thousands of concurrent user…

http://www.albahari.com/threading/ PART 1: GETTING STARTED Introduction and Concepts C# supports parallel execution of code through multithreading. A thread is an independent execution path, able to run simultaneously with other threads. A C# client …

从2.6.31内核开始,linux内核自带了一个性能分析工具perf,能够进行函数级与指令级的热点查找. perf Performance analysis tools for Linux. Performance counters for Linux are a new kernel-based subsystem that provide a framework for all things performance analysis. It covers hardware level (CP…

In computer science, a skip list is a data structure that allows fast search within an ordered sequence of elements. Fast search is made possible by maintaining a linked hierarchy of subsequences, each skipping over fewer elements. Searching starts i…

Introduction(引入,介绍) and Concepts(概念) 原文地址:http://www.albahari.com/threading/ 注:水平有限不能全文翻译,备注了个别字段和短句,达到帮助理解的程度就可以了. C# supports parallel(并行) execution(执行) of code through multithreading(多线程). A thread is an independent(独立) execution path, able to run…

1. 误差分析(Error analysis) 误差分析的目的是找到不同误差源的比重,从而指引我们接下来往哪个方向努力改进.NG建议手工统计随机100个错误的误差源,比如对于猫分类器,错误的照片可能是1)狗:2)大型猫科动物:3)图像模糊.那么可以建立下面的表格: 在统计过程中发现新的误差源,则添一列(比如这里的Instagram).本例的结果是100张错误图像中,Blurry占61%,Great Cats占43%,所以这两个是最主要的误差源,那么可以把团队分两拨,一拨人主攻一个方向.而Dog.…

IBAction / IBOutlet / IBOutletCollection 时间 2014-05-05 15:00:00  NSHipster原文  http://nshipster.com/ibaction-iboutlet-iboutletcollection/ In programming, what often begins as a necessary instruction eventually becomes a vestigial cue for humans. In th…