• C# 2
• C++ 9
• Computer Vision 3
• Deep Learning 1
• Face Recognition 1
• Feature 1
• Human Figure detection 1
• ICCV2019 1
• LSTM 1
• Machine Learning 4
• NN 9
• Optimization 5
• Paper Notes 4
• SLAM 4
• SVM 3
• Stanford Machine Learning Notes 9
• WPF 1
• g2o 1
• 网络编程 2
• 网页搭建 2

C#

• Data binding of ListBox and string list in C#
• Switch to another window using C#

C++

• Effective Modern C++:multi-threading
• Effective Modern C++:bind and lambda
• Effective Modern C++:lambda expression
• Effective Modern C++:shared_ptr
• Effective Modern C++:unique_ptr
• Effective Modern C++:constexpr, thread safe
• Effective Modern C++:alias,enum,override
• Effective Modern C++:decltyle,use {}
• Effective Modern C++:Template and auto

Computer Vision

• Discriminatively Trained Part Based Models notes
• PCA and Face Recognition - Eigen Face
• HoG Feature

Deep Learning

• Lecture notes of LSTM's Inventor Sepp Hochreiter

Face Recognition

• PCA and Face Recognition - Eigen Face

Feature

• HoG Feature

Human Figure detection

• Discriminatively Trained Part Based Models notes

ICCV2019

• Gaussian Yolo V3 - get 3.5 more mAP and uncertainty with 1% more computation

LSTM

• Lecture notes of LSTM's Inventor Sepp Hochreiter

Machine Learning

• SVD, PCA and Least Square Problem
• Discriminatively Trained Part Based Models notes
• Structural SVM with Latent Variables Notes
• PCA and Face Recognition - Eigen Face

NN

• NN Backpropagation
• NN Softmax loss function
• NN Dropout
• NN Initialization
• Lecture notes of LSTM's Inventor Sepp Hochreiter
• NN Preprocessing
• NN Architecture
• NN:one neuron
• Goodbye Mobis

Optimization

• Graph Optimization 4 - g2o introduction - GPS odometry
• Graph Optimization 3 - Optimization Update
• Graph Optimization 2 - Modelling Optimization Target
• Graph Optimization 1 - Modelling Edges and Vertices
• Structural SVM with Latent Variables Notes

Paper Notes

• Uncertainty learning how to and why
• What is the role of depth in neural networks?
• Gaussian Yolo V3 - get 3.5 more mAP and uncertainty with 1% more computation
• Structural SVM with Latent Variables Notes

SLAM

• Graph Optimization 4 - g2o introduction - GPS odometry
• Graph Optimization 3 - Optimization Update
• Graph Optimization 2 - Modelling Optimization Target
• Graph Optimization 1 - Modelling Edges and Vertices

SVM

• Structural SVM with Latent Variables Notes
• SVM:multi-class SVM regularization
• Linear Classification

Stanford Machine Learning Notes

• NN Backpropagation
• NN Softmax loss function
• NN Dropout
• NN Initialization
• NN Preprocessing
• NN Architecture
• NN:one neuron
• SVM:multi-class SVM regularization
• Linear Classification

WPF

• Data binding of ListBox and string list in C#

g2o

• Graph Optimization 4 - g2o introduction - GPS odometry

网络编程

• 用Jekyll模板搭建Github页面-Windows
• 改造Jekyll模板的技术细节

网页搭建

• 用Jekyll模板搭建Github页面-Windows
• 改造Jekyll模板的技术细节