Vanishing Point detection for images and videos using Least Squares in C++
-
Updated
Jul 28, 2017 - C++
Vanishing Point detection for images and videos using Least Squares in C++
Distributed least squares approximation (dlsa) implemented with Apache Spark
Solve many kinds of least-squares and matrix-recovery problems
Repository containing introduction to the main methods and models used in machine learning problems of regression, classification and clustering.
Numerical analysis methods implemented in Python.
Python Tools to Practically Model and Solve the Problem of High Speed Rotor Balancing.
RANSAC (RANdom SAmple Consensus) Algorithm Implementation
Trilateration example using least squares method in scipy
**curve_fit_utils** is a Python module containing useful tools for curve fitting
Robust Regression for arbitrary non-linear functions
Time Series Regression with Python
A fast and low memory requirement version of PointHop and PointHop++, which is built upon Apache Spark.
Some useful algorithms implemented in Python
Robust locally weighted multiple regression in Python
Implementation of the Locally Optimized Random SAmple Consensus (LO-RANSAC) 3D plane fitting algorithm
DLTReconvolution - A Python based software for the analysis of lifetime spectra using the iterative least-square reconvolution method
Regularized least-squares algorithm over the empirical risk minimization
Randomized Extended Kaczmarz (C++)
This is the implementation of the five regression methods Least Square (LS), Regularized Least Square (RLS), LASSO, Robust Regression (RR) and Bayesian Regression (BR).
基于.Net Framework/WPF框架开发的、通过最小二乘法实现的多项式曲线拟合软件
Add a description, image, and links to the least-square-regression topic page so that developers can more easily learn about it.
To associate your repository with the least-square-regression topic, visit your repo's landing page and select "manage topics."