As one of the popular subfields of artificial intelligence and machine learning, computer vision has attracted public attention. Can computer vision possess the resolution of the human eye, and in which fields does it have development prospects? A series of questions can be answered in the Computer Vision course. The Computer Vision course, taught by … Read more
CASIA Unlock More Intelligence Beauty Introduction Computer vision is a discipline that studies how to use computers to simulate the functions of human or biological visual systems. Its purpose is to enable computers to perceive and understand the surrounding world based on images, specifically to recognize, measure, and understand information such as scenes, objects, and … Read more
Click on the above “Beginner’s Guide to Vision“, select to add “Star” or “Pin“ Important content delivered in real-time This article is authored by Wu Yida。 https://www.cnblogs.com/wuyida/p/6301262.html Vision-based 3D reconstruction refers to obtaining data images of scene objects through a camera, analyzing and processing these images, and then deducing the three-dimensional information of objects in … Read more
DOI: 10.1097/SCS.0000000000010073 Abstract Objective: To summarize the application experience of multimodal imaging fusion technology in complex skull base tumor surgery. Methods: A retrospective analysis of clinical data from 7 patients with complex skull base tumors who underwent preoperative multimodal imaging fusion in the Department of Neurosurgery at Zhuhai People’s Hospital from October 2019 to January … Read more
Anyone involved in econometrics should follow this account. Manuscript:[email protected] All econometrics methodologiesCode programsMacro and microdatabases and various softwareare all shared in the community. Welcome to exchange and visit the econometrics circle community. Regarding machine learning methods, refer to the following articles:1Machine learning methods have appeared in top journals such as AER, JPE, QJE!, 2Frontier: A … Read more
Table of Contents Understanding Nearest Neighbor Classification Step 1: Collecting Data Step 2: Exploring and Preparing Data Step 3: Training the Model Based on Data Step 4: Evaluating Model Performance Step 5: Improving Model Performance Understanding Nearest Neighbor Classification Do you know how proteins, vegetables, and fruits are classified? In life, we find that things … Read more
“Birds of a feather flock together” is a common phenomenon in real life, indicating that similar things are likely to have similar attributes. Using this idea, machine learning can classify data, assigning it to the same category, such as similar or “nearest” neighbors. Today, let’s learn about nearest neighbor classification. 1. Understanding Nearest Neighbor Classification … Read more
Star★TopPublic Account I love you all♥ Author: Matthew Translated by: Fang’s Mantou 0 Introduction Today, the public account will introduce to everyone,distinguishing real financial time series from synthetic time series. The data is anonymous, and we do not know which time series comes from which asset. In the end, we achieved a 67% in-sample testing … Read more
Author: Huang Tianyuan, currently a PhD student at Fudan University, with research involving text mining, social network analysis, and machine learning. I hope to share learning experiences and promote the application of R language in the industry. Email: [email protected] XGBoost is currently the best predictive solution based on tree models, and is worth exploring and … Read more
Author IntroductionIntroduction Su Gaosheng, graduated with a master’s degree in statistics from Southwestern University of Finance and Economics, currently working at China Telecom, mainly responsible for big data analysis and data modeling for existing enterprise customers. Research direction: Machine Learning, favorite programming language: R, no exceptions. E-mail: [email protected] Zero, Case Background Introduction and Modeling Idea … Read more