一些关于 Computer Aided Learning System 的paper和thesis： Computer Aided Pronunciation Learning System Using Speech Recognition Techniques PLASER: Pronunciation Learning via Automatic Speech Recognition Computer Assisted Language Learning system based on d
统计模式识别 Statistical Pattern Recognition 简介：本书详细介绍了密度估计（分参数、贝叶斯和非参数三章）、线性判别分析、非线性判别分析、决策树归纳、多分类器融合、性能估计、聚类法、复杂网络等内容。 Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract infor
The RWTH Speech Recognition System，Human Language Technology and Pattern Recognition Lehrstuhl für Informatik 6 Computer Science Department RWTH Aachen University, Germany
一种视觉导航的里程碑文献，描述了场景匹配的评价方式。Kendoul: Survey of advances in GNC of ruAs 317
for launch and recovery. These three categories are domi- Finally, discussions and conclusions about published pa-
nated by conventional helicopter configurations with a sin- pe
利用MATLAB进行高级图像和视频处理，分享给大家学习使用。The book series Modeling and Optimization in Science and Technologies(Most)
publishes basic principles as well as novel theories and methods in the fast-evolving
field of modeling and optimization Topics of interest incl
VIBE复现过程，使用nvidia和libOpenGL.so渲染出错及解决方案
VIBE全称是”Video Inference for Human Body Pose and Shape Estimation”，是2020年CVPR(computer vision and pattern recognition)中关于人体姿态骨架的一篇论文。
论文地址：https://arxiv.org/abs/1912.05656
github源码地址：https://github.com/mkocabas/
ITN：几何感知场景文本检测
，，，王新超和陶大成。 “ 。”在CVPR中，2018年。
InProceedings{Wang_2018_CVPR,
author = {Wang, Fangfang and Zhao, Liming and Li, Xi and Wang, Xinchao and Tao, Dacheng},
title = {Geometry-Aware Scene Text Detection with Instance Transformation Network},
这是官方的存储库。
VOCA是一个简单且通用的语音驱动的面部动画框架，可在各种身份上使用。 该代码库演示了如何在给定语音信号和静态角色网格的情况下合成逼真的角色动画。 有关详细信息，请参见科学出版物
Capture, Learning, and Synthesis of 3D Speaking Styles.
D. Cudeiro*, T. Bolkart*, C. Laidlaw, A. Ranjan, M. J. Black
Computer Vision and Pattern Reco
不受限制的情况下的ALPR
介绍
该存储库包含作者的ECCV 2018论文``不受约束的场景中的车牌检测和识别''的实现。
论文网页： :
如果您在任何出版物中使用我们的代码产生的结果，请引用我们的论文：
INPROCEEDINGS{silva2018a,
author={S. M. Silva and C. R. Jung},
booktitle={2018 European Conference on Computer Vision (ECCV)},
title={L
用于快速和可扩展的点云学习的Grid-GCN（CVPR2020）
请引用我们：
article{1912.02984,
Author = {Qiangeng Xu and Xudong Sun and Cho-Ying Wu and Panqu Wang and Ulrich Neumann},
Title = {Grid-GCN for Fast and Scalable Point Cloud Learning},
Year = {2019},
Eprint = {arXi
