What is decision tree regression? The entire data set (parent node) is divided into two data sets (child nodes) based on the reference value. Repeat the above steps for each child node to create c...
Support Vector for Regression (SVR)
What is SVR? Unlike simple linear regression, you can see a tube instead of a simple line, with a regression line inside the tube. The tube is called the “epsilon-insensitive tube” and has a width...
Polynomial Regression
What is polynomial regression? A simple linear regression algorithm only works when the relationship between the data is linear. However, if we have non-linear data, linear regression will not be ...
Multiple Linear Regression
What is Multiple Linear Regression? Multiple linear regression is used to estimate the relationship between two or more independent variables(X) and one dependent variable (Y): X is regarded as...
Simple Linear Regression
What is Simple Linear Regression? Simple linear regression is a statistical method that allows us to summarize and study relationships between two continuous (quantitative) variables: The first ...
Regression
What is Regression? Regression finds correlations between dependent and independent variables. Therefore, regression algorithms help predict continuous variables such as house prices, market trends...
Data Preprocessing
What is data preprocessing? Data preprocessing is an important task that must be conducted before a dataset can be used for model training. Raw data is often noisy and unreliable, and may be missi...
Data Preprocessing Introduction
What is data preprocessing? Data preprocessing is an important task that must be conducted before a dataset can be used for model training. Raw data is often noisy and unreliable, and may be missi...
CSRT
CSRT(Discriminative Correlation Filter with Channel and Spatial Reliability) Runs at a lower speed, but the quality is higher. How CSRT Works? Step 1 (Training patch) Select the object we wan...
KCF
KCF(Kernelized Correlation Filters) Runs very fast, but the quality is not so good, especially in fast videos.The most common problem occurs when the bounding box loses the object. The larger frame...