sinkhole detection

Evaluating the importance of an anomaly detection algorithm using numerical valuesIt is important to use the real-number evaluation method , when you use an algorithm to develop a specific machine learning application, you often need to make a lot of decisions, such as the choice of what characteristics and so on, if you can find how to evaluate the algorithm, directly return a real number to tell you the good or bad of the algorithm, That makes it ea

recognition process. Mean Shift uses Iterative Computing to locate the nearest point in the data density distribution ). This method has three advantages: (1) extracting the background from videos containing chaotic motion objects; (2) very clear background; (3) noise and small margin (CAMERA) vibration is robust. Extensive experimental results prove the advantages of the above. Key words: background subtraction, background generation, mean shift, influencing factor description, most reliable

http://blog.csdn.net/pipisorry/article/details/44783647Machine learning machines Learning-andrew NG Courses Study notesAnomaly Detection anomaly DetectionThe motive of problem motivation problemAnomaly Detection ExampleApplycation of anomaly DetectionNote: for frauddetection: The users behavior examples of features of a users activity is on the Website it ' d be things like,maybe X1 was how often does this

This note describes the third week of convolutional neural networks: Target detection (1) Basic object detection algorithmThe main contents are:1. Target positioning2. Feature Point detection3. Target detectionTarget positioningUse the algorithm to determine whether the image is the target object, if you want to also mark the picture of its position and use the border marked outAmong the problems we have st

Depth learning target detection (object detection) series (i) r-cnnDepth learning target detection (object detection) series (ii) spp-netDepth learning target detection (object detection) series (iii) Fast R-CNNDepth learning targ

At present, a website has several versions is very normal, such as PC version, 3G version, mobile version and so on. Depending on the browsing device we need to be directed to a different version. Not only that, we sometimes need to load different CSS depending on the client, so we need to be able to detect the browsing device, so we need to use the "mobile detection" class library. Mobile detection is a P

Document directory Basic Solution Some tag-specific events DOM pollution Firefox BUG Firefox BUG persists Add Cache Mutation Event DOMContentLoaded Related Resources Event detection is used to detect whether an event exists (available) in different browsers. This is also very important during Javascript writing. For example, the mouseenter/mouseleave event is practical, but not all browsers provide standard support, so you need to manua

Event detection is used to detect whether an event exists (available) in different browsers. This is also very important during Javascript writing. For example, the mouseenter/mouseleave event is practical, but not all browsers provide standard support, so you need to manually simulate it yourself, that is: Function addEvent (element, name, handler) {if (name = 'mouseenter '! HasEvent (name, element) {// simulate a mouseenter event by other means} //

from:73439202Problem Introduction:At present, the common target detection algorithm, such as faster R-CNN, has the disadvantage of slow speed. The SSD method proposed in this paper not only improves the speed, but also improves the accuracy.SSD:The core idea of this paper:The main contribution of this paper:1. The SSD target detection method is proposed, which is faster than the fastest YOLO in speed, and c

Inria Object detection and Localization Toolkit author:navneet Dalal OLT Toolkit for Windows:wilson Suryajaya, Curtin University, Australia, has modified OLT for Windows. You can download the source code from his website. Download the binaries or the library version of the software for Linux from. Release Date:13 Aug, 2007. Note The code accepts only linear SVM models. These are are old binaries. The Users are requested to use the code to compile bi

JavaScript feature detection is not browser detectionDetailed source reference:. net/article/21834.htm ">http://www.111cn.net/article/21834.htmAt first, the front-end engineers objected to browser testing, which they thought was bad because it was not a future-oriented code and could not adapt to new browsers. A better approach is to use feature detection, just like this:Copy code code as follows:if (Naviga

This series of learning notes is referenced from the OpenCV2.4.10Opencv\sources\samples\cpp\tutorial_code and http://www.opencv.org.cn/opencvdoc/2.3.2/html/genindex.htmlin image processing, it is often necessary to extract an effective edge to the image. This post will cover Laplace edge detection and Sobel edge detection, as well as image remapping. 1.laplace_demo.cpp (Laplace edge

Simple and rough fingertip detection method (fingertips detection) Zouxy09@qq.com Http://blog.csdn.net/zouxy09 In the field of human-computer interaction, if you can better detect your fingertips, it will greatly improve the richness and flexibility of interaction. At present, there are many fingertip detection methods. I have tried two simple methods here. Both

Image processing-by-the-art edge detection and image processing-by-the-art Edge Detection Image processing-edge moderation I. History In 1986, John F. Well developed an edge detection algorithm based on image gradient computing. Detection Algorithm. At the same time, he also made a lot of contributions to the developme

Linux hard disk Performance Detection and linux hard disk Detection For today's computers, the performance of the entire computer is mainly affected by the disk I/O speed, and the speed of memory, CPU, and motherboard bus has become very fast.Basic detection method 1. dd command The dd command function is very simple. It reads data from a source and writes it to

after scanning the QR Code extraction task, it is necessary to extract the ID number from the ID image and then call the colleague to identify it. the previous connected-domain detection algorithm compares "brute force" because once it detects a large area, all the inner areas of the area will no longer exist. Therefore, in the connected domain detection, the first step is to remove the possible white edge

In the previous article, we introduced several browser feature detection solutions and specific purposes added in jQuery1.4. This article will focus on events and introduce a complete and general event detection solution. In the previous article, we introduced several browser feature detection solutions and specific purposes added in jQuery1.4. This article will

Corner PointFeature detection and matching is an important part of the computer Vision application, which needs to find the characteristics of the image to establish the corresponding relationship. Point, which is the special position in the image, is a very common feature, the local feature of the point can also be called "key feature Point" (KeyPoint feature), or "point of interest" (interestpoint), or "Corner" ( Conrner).There are several specific