Comparison Summary of 10 Nonlinear Dimensionality Reduction Techniques in Machine Learning

Comparison Summary of 10 Nonlinear Dimensionality Reduction Techniques in Machine Learning

Approximately 3800 words, recommended reading time 6 minutes. This article introduces 10 nonlinear dimensionality reduction techniques in machine learning. Dimensionality reduction means reducing the number of features in a dataset without losing too much information. Dimensionality reduction algorithms fall under the category of unsupervised learning, training algorithms with unlabeled data. Although there are many types … Read more

Summary of Dimensionality Reduction Algorithms in Machine Learning

Summary of Dimensionality Reduction Algorithms in Machine Learning

Source: Algorithm Advancement This article is about 7500 words long and is recommended for a 10-minute read. It provides an information table of seven algorithms, summarizing the parameters and main objectives of each algorithm, and introduces some basic concepts of dimensionality reduction. Recently, I have been looking into some dimensionality reduction algorithms. This article first … Read more

Emotion Recognition from EEG Signals Based on Weighted KNN Algorithm

Emotion Recognition from EEG Signals Based on Weighted KNN Algorithm

Authors: Cai Jing, Yuan Shouguo, Li Rui, Xu Menghui Affiliations: 1. Jilin University, School of Instrument Science and Electrical Engineering, Changchun, Jilin 130061. Abstract: Emotions are closely related to human behavior, family, and society. Emotions not only reflect various feelings, thoughts, and behaviors of humans but also represent psychological and physiological responses generated by various … Read more

Principles and Methods of Defect Detection Based on Machine Vision

Principles and Methods of Defect Detection Based on Machine Vision

Statistical Classification Methods: (1) Based on KNN (K-Nearest Neighbors): Use similarity to find the k nearest training samples, then score and rank them by score. (2) Based on Naive Bayes Algorithm: Calculate probabilities to build classification models. Guidance: A doctor diagnosing a patient is a typical classification process. No doctor can directly see a patient’s … Read more

Sea Temperature Forecast Model Based on PCA and LSTM

Sea Temperature Forecast Model Based on PCA and LSTM

Sea Temperature Forecast Model Based on PCA and LSTM Full text can be downloaded on PC at the following address: http://www.hyyb.org.cn/Magazine/Show.aspx?ID=3464 Reading Notes Authors: Li Jingshi1 2 Kuang Xiaodi1 2 Li Qiong3 He Enye1 2 Zhang Yubai3 Yuan Chengyi4 Zhang Yanlin5 Affiliations: 1. National Marine Environmental Forecasting Center, Beijing 100081; 2. Key Laboratory of Marine … Read more

Intelligent Image Analysis Based on Big Data – Searching Cars by Image

Intelligent Image Analysis Based on Big Data - Searching Cars by Image

The technology of searching cars by image is based on computer vision, image processing, and image recognition technologies, including four major steps: image preprocessing, feature extraction, establishing image feature indexing, and feature matching. Image Preprocessing Images in complex backgrounds often suffer from diverse noise, low resolution, and uneven lighting. To ensure that images have uniform … Read more

Future Frame Prediction in 2D Movie MR Images Using PCA and RNN

Future Frame Prediction in 2D Movie MR Images Using PCA and RNN

✅Author Bio: A Matlab simulation developer passionate about research, skilled in data processing, modeling simulation, program design, complete code acquisition, paper reproduction, and scientific simulation. 🍎Personal Homepage:Matlab Research Studio 🍊Personal Motto: Seek knowledge through inquiry; feel free to message me for help. 🔥 Content Introduction Abstract: Respiratory motion in medical imaging is a critical factor … Read more

Design of Expert System for Trend Diagnosis of Process Parameters Based on Data Mining

Design of Expert System for Trend Diagnosis of Process Parameters Based on Data Mining

Original Information Paper Title:An Expert System Based on Data Mining for a Trend Diagnosis of Process Parameters Accepted Journal:Processes Original DOI: JCR Q2 Author List 1) Wang Zhu, China University of Petroleum (Beijing), School of Information Science and Engineering/School of Artificial Intelligence, Department of Automation, Teacher 2) Wang Shaoxian, China University of Petroleum (Beijing), School … Read more