Recommended by Editor Rich data sources always require image processing. This week, we will introduce image recognition technology and compare several techniques. Once upon a time, image recognition technology seemed like a strange term, but now it is increasingly integrated into people’s lives. A classic application in recent years is the image recognition feature launched … Read more
1. Concept of Speech Recognition Speech recognition technology, also known as Automatic Speech Recognition (ASR), aims to convert the vocabulary content of human speech into computer-readable input, such as keystrokes, binary codes, or character sequences. In simple terms, speech recognition technology allows intelligent devices to understand human speech. It is a science that involves multiple … Read more
Click I Love Computer Vision to star and get the latest CVML technologies faster This article is reprinted from Machine Heart. Selected from Medium Author:Ajinkya Khalwadekar Translated by Machine Heart Contributors:Panda, Egg Sauce In the fields of machine learning and computer vision, Optical Character Recognition (OCR) and Handwritten Text Recognition (HTR) have long been important … Read more
Selected from | Medium Transferred from | Machine Heart Contributors | Jiang Siyuan, Huang Xiaotian, Wu Pan Image classification is one of the fundamental research topics in the field of artificial intelligence, and researchers have developed a large number of algorithms for image classification. Recently, Shiyu Mou published an article on Medium, comparing five methods … Read more
Selected from Medium Translated by Machine Heart Contributors: Jiang Siyuan, Huang Xiaotian, Wu Pan Image classification is one of the fundamental research topics in artificial intelligence, and researchers have developed a large number of algorithms for image classification. Recently, Shiyu Mou published an article on Medium that experimentally compared five methods for image classification (KNN, … Read more
The powerful feature representation and nonlinear fitting capability of deep neural networks stem from sufficient learning on high-quality datasets. However, in practical engineering applications, due to economic and labor costs, acquiring a large amount of typical labeled data becomes extremely challenging, resulting in avery limited number of training samples. Data augmentation methods provide a simple … Read more
Machine Heart reports Editors: Danjiang, Xiaozhou SVM is all you need; Support Vector Machines are never out of date. The Transformer is a new theoretical model of Support Vector Machines (SVM) that has sparked discussion in academia. Last weekend, a paper from the University of Pennsylvania and the University of California, Riverside, sought to explore … Read more
Debris flow susceptibility evaluation is an important part of debris flow prevention and control work. Reliable evaluation results can provide important basis for formulating scientific disaster prevention and reduction plans in related areas. Thanks to the development of remote sensing technology, geographic information systems, global positioning systems, and computer technology, debris flow susceptibility evaluation technology … Read more
Scikit-learn: Getting Started with Machine Learning! Hello, today we are going to learn about a very powerful machine learning library in Python – Scikit-learn. Whether you are a beginner or an experienced developer, Scikit-learn can help you quickly implement various machine learning algorithms, making machine learning as easy as pie! What is Scikit-learn? Scikit-learn is … Read more
Author | Howard Source | Zhihu 1. NLP’s Head Start The history of NLP development is quite early, as the need for language processing has existed since the invention of computers. Various string algorithms have been intertwined with the history of computer development. The great Chomsky proposed generative grammar, which is the most basic framework … Read more