Bioinformatics_Algorithms_－_Design_and_Implementation_in_Python.pdf

图像识别与分类的算法系统应用的论文集 This book presents important recent advances in sensors, image processing algorithms, and systems for image recognition and classification with diverse applications in military, aerospace, security, image tracking, radar, biomedical, and intelligent transportation. The book includes contributions by some of the leading researchers in the field to present an overview of advances in image recognition and classification over the past decade. It provides both theoretical and practical information on advances in the field.

Network Flows -- Theory, Algorithms, and Applicat.pdf 很全面的有关网络流书籍，全英，个人觉得很实用。

博洛尼亚大学（University of Bologna）Stefano Mattoccia教授的讲义，是双目立体视觉入门必读资料，200页PPT系统的讲解了双目视觉原理、双目整个流程、立体匹配算法的对比及常见的问题等。网上讲解双目视觉相关知识的博客，很多都引用过该PPT中的图片。

Data Structures and Algorithms in Python，数据结构算法

Image-analysis-classifaction-and-change-detection-in-remote-sensing-with-algorithms-for-ENVI-IDL-and-Python.pdf

This is an introduction to metropolis-hasting algorithms with the prospective of R language.

Stereo Vision：Algorithms and Applications

Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and machine learning. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms Illuminated is an accessible introduction to the subject for anyone with at least a little programming experience. The exposition emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details—like a transcript of what an expert algorithms tutor would say over a series of one-on-one lessons. The book includes solutions to all quizzes and selected problems, and a series of YouTube videos by the author accompanies the book. Part 2 of this book series covers graph search and its applications, shortest-path algorithms, and the applications and implementation of several data structures: heaps, search trees, hash tables, and bloom filters.

快速入门机器人学需掌握的工具书。运动规划。WE FIRST and foremost want to thank our students, who were incredibly supportive of us when writing this book. We would like to thank the members of the Biorobotics/ Sensor Based Planning Lab at Carnegie Mellon, especially Ji Yeong Lee; the Laboratory for Intelligent Mechanical Systems at Northwestern; the robotics group in the Beckman Institute at the University of Illinois, Urbana Champaign; the Physical and Biological Computing Group at Rice, especially Andrew Ladd and Erion Plaku; the Lab for Autonomous Intelligent Systems at the University of Freiburg, especially Dirk Hähnel and Cyrill Stachniss; and the Stanford and Carnegie Mellon Learning Labs, for their contributions and efforts for this book.