Classification algorithms | Ensemble learning
Cascading is a particular case of ensemble learning based on the concatenation of several classifiers, using all information collected from the output from a given classifier as additional information for the next classifier in the cascade. Unlike voting or stacking ensembles, which are multiexpert systems, cascading is a multistage one. Cascading classifiers are trained with several hundred "positive" sample views of a particular object and arbitrary "negative" images of the same size. After the classifier is trained it can be applied to a region of an image and detect the object in question. To search for the object in the entire frame, the search window can be moved across the image and check every location with the classifier. This process is most commonly used in image processing for object detection and tracking, primarily facial detection and recognition. The first cascading classifier was the face detector of Viola and Jones (2001). The requirement for this classifier was to be fast in order to be implemented on low-power CPUs, such as cameras and phones. (Wikipedia).
Bayes Classifiers; Bayes rule; discrete and Gaussian class-conditional distributions
From playlist cs273a
An Introduction to Classification
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Develop predictive models for classifying data. For more videos, visit http://www.mathworks.com/products/statistics/examples.html
From playlist Math, Statistics, and Optimization
What are Attributes | Attributes and Entities | Data Warehousing Tutorial | Edureka
***** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** An Attribute is a property that describes an entity. In the above example, the employee is the entity and employee’s name, age, address, salary and job etc are the attribute. Data modeling is a pr
From playlist Data Warehousing Tutorial Videos
Linear classifiers (1): Basics
Definitions; decision boundary; separability; using nonlinear features
From playlist cs273a
Casio Classwiz - Mean & Standard Deviation Grouped Continuous Data using Calculator FX-991EX FX991EX
Find mean and standard deviation with Casio Classwiz FX-991EX calculator from grouped continuous data . Guide for finding mean, standard deviation or variance in a typical A level / AS level Mathematics L3: Data Presentation and Interpretation, S1 Statistics or IB Math SL HL question. Al
From playlist How to use your Casio Classwiz (FX-991EX / FX-570EX)
Object Detection: Part 1 | Student Competition: Computer Vision Training
Learn to detect objects using template matching, histogram of gradients (HOG), and cascade object detectors. Get files: https://bit.ly/2ZBy0q2 Explore the MATLAB and Simulink Robotics Arena: https://bit.ly/2yIgwfS ---------------------------------------------------------------------------
From playlist Student Competition: Computer Vision Training
How To Do Face Detection Using OpenCV Haar Cascades | Session 07 | #AI
Don’t forget to subscribe! In this series, you will learn to do face detection using OpenCV Haar Cascades. This series will cover all the necessary steps to help you learn face detection. We will use OpenCV Haar Cascades to do face detection. By the end of the series, you will have know
From playlist Face Detection Using OpenCV Haar Cascades
Haar Cascade Object Detection Face & Eye - OpenCV with Python for Image and Video Analysis 16
In this OpenCV with Python tutorial, we're going to discuss object detection with Haar Cascades. We'll do face and eye detection to start. In order to do object recognition/detection with cascade files, you first need cascade files. For the extremely popular tasks, these already exist. Det
From playlist OpenCV with Python for Image and Video Analysis
27c3: Contemporary Profiling of Web Users
Speakers: Dominik Herrmann, lexi On Using Anonymizers and Still Get Fucked This talk will provide a summary of recently discovered methods which allow to break the Internet's privacy and anonymity. We will show, amongst others: * ways of distinguishing bots from humans. We use this
From playlist 27C3: We come in peace
27c3: Contemporary Profiling of Web Users (en)
Speakers: Dominik Herrmann , lexi On Using Anonymizers and Still Get Fucked This talk will provide a summary of recently discovered methods which allow to break the Internet's privacy and anonymity. We will show, amongst others: •ways of distinguishing bots from humans. We use th
From playlist 27C3: We come in peace
OpenCV Course - Full Tutorial with Python
Learn everything you need to know about OpenCV in this full course for beginners. You will learn the very basics (reading images and videos, image transformations) to more advanced concepts (color spaces, edge detection). Towards the end, you'll have hands-on experience building a Deep Com
From playlist Machine Learning
Professor Stéphane Mallat: "High-Dimensional Learning and Deep Neural Networks"
The Turing Lectures: Mathematics - Professor Stéphane Mallat: High-Dimensional Learning and Deep Neural Networks Click the below timestamps to navigate the video. 00:00:07 Welcome by Professor Andrew Blake, Director, The Alan Turing Institute 00:01:36 Introduction by Professo
From playlist Turing Lectures
Raspberry Pi Camera Module Tutorial | Raspberry Pi 3 | IoT Online Training | Edureka | IoT Live - 4
🔥Edureka IoT Certification Training - https://www.edureka.co/iot-certification-training This "Raspberry Pi Camera Module" video by Edureka will explain how to work with Pi Camera by discussing the basics. 🔴Subscribe to our channel to get video updates. Hit the subscribe button above: htt
From playlist Edureka Live Classes 2020
Raspberry Pi Camera Module | Raspberry Pi 3 IoT Projects | IoT Online Training | Edureka
** IoT Certification Training - https://www.edureka.co/iot-certification-training ** This "Raspberry Pi Camera Module" video by Edureka will explain how to work with Pi Camera. This Raspberry Pi Camera video covers following topics: 1. Introduction to Pi Camera 2. Pi Camera Introductio
From playlist Internet of Things - IoT Tutorial for Beginners | Edureka
Digging into Data: Supervised Classification with Decision Trees
Our second classification lecture, where we cover non-linear decision trees.
From playlist Digging into Data
Introduction to Classification Models
Ever wonder what classification models do? In this quick introduction, we talk about what classifications models are, as well as what they are used for in machine learning. In machine learning there are many different types of models, all with different types of outcomes. When it comes t
From playlist Introduction to Machine Learning
Classes are a super helpful data type in python. We can create objects that share similar information types. This video shows an example of classes where we create members of Bravais lattice and store relevant information like crystal system or centering as fields within the class. We can
From playlist Intro to Python Programming for Materials Engineers
OpenCV Tutorial Part - 2 | OpenCV Face Recognition Python Tutorial | OpenCV Project | Simplilearn
🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=OpenCVTutorialPart2-VvuVCec-KZM&utm_medium=Descriptionff&utm_source=youtube 🔥Professional Certificate Program In AI And Machine Learning: https:/
From playlist AI & Machine Learning | Ronald Van Loon [2022 Updated]