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Name: XingdongJian
Type: User
Name: XingdongJian
Type: User
Obstacle Detection using Hokuyo 2D Lidar
[3DUNDERWORLD-SLS] High-accuracy Structured-Light Scanner.
matlab code for doing visual SLAM for RGBD SLAM
This project is the C++ implementation of Background Subtraction using adaptive GMM models as discussed by Zoran Zivkovic in his paper "Improved Adaptive Gaussian Mixture Model for Background Subtraction".
贝叶斯过滤垃圾评论
感知器、贝叶斯分类、决策树分类、K最近邻法、逻辑回归、支持向量机...
基础分类器算法实现。包括朴素贝叶斯等
A python tool used for download coursera's videos and subtitles.
Perform Gaussion elemination with Cpp
Computer Vision and Pattern Recognition
This is my code used for pedestrian recognition.
Code for "Efficient feature extraction, aggregation and classification for action recognition" (Kantorov, Laptev, CVPR'14)
A simple obstacle avoidance demo using a LIDAR sensor
a Gaussian Mixture Model (GMM) implementation.
Factorized Graph Matching for CVPR 2012, CVPR 2013
Determining geyser eruption times from temperature sensor data
Gaussian Mixture Models in Python
Gaussian Mixture Model Estimator using Expectation Maximization
Gaussian Mixture Model for Audio Classification
Gaussian Mixture Model estimation
Gaussian Mixture Model clustering using OpenCv Expectation Maximization implementation
Implementations of the robust point set registration algorithm described in the paper "Robust Point Set Registration Using Gaussian Mixture Models", Bing Jian and Baba C. Vemuri, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(8), pp. 1633-1645.
Maps and GPS data
NOTE: This work was never completed - the status is unknown. Image segmentation using GMM EM and Graph Cuts
GraphCut
This project is a Ruby gem ('hmm') for machine learning that natively implements a (somewhat) generalized Hidden Markov Model classifier. At present, it is capable of supervised learning (using labeled training data) and Viterbi decoding. Unsupervised learning is on the way.
Hidden Markov models in Python
hidden markov model on GPU
Pure python implementation of an HMM with standard inference algorithms
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.