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IbPRIA 2005 (Iberian Conference on Pattern Recognition and Image Analysis) was the second of a series of conferences jointly organized every two years by the Portuguese and Spanish Associations for Pattern Recognition (APRP, AERFAI), with the support of the International Association for Pattern Recognition (IAPR). This year, IbPRIA was hosted by the Institute for Systems and Robotics and the Geo-systems Center of the Instituto Superior Tecn 麓 ico and it was held in Estoril, Por- gal. It provided the opportunity to bring together researchers from all over the world to discuss some of the most recent advances in pattern recognition and all areas of video, image and signal processing. There was a very positive response to the Call for Papers for IbPRIA 2005. We - ceived 292 full papers from 38 countries and 170 were accepted for presentation at the conference. 章节: 1.Computer Vision 2.Shape and Matching 3.Image and Video Processing 4.Image and Video Coding 5.Face Recognition 6.Human Activity Analysis 7.Surveillance 8.Robotics 9.Hardware Architectures
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一些图像处理领域的会议和期刊,不是太多,只是重点写一下,慢慢整理
Pattern Recognition, Image Analysis, Computer Vision

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Progress in Pattern Recognition, Image Analysis, Computer Vision

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Deep Learning for Medical Image Analysis

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Pattern Recognition and Machine Learning. Bishop. 完整版pdf

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Technical Analysis for Algorithmic Pattern Recognition 2016

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IMAGE PROCESSING AND PATTERN RECOGNITION

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Pattern Recognition and Image Preprocessing

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MIT课程Pattern Recognition and Analysis

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Similarity-Based Pattern Analysis and Recognition

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and App

This book constitutes the refereed post-conference proceedings of the 22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017, held in Valparaíso, Chile, in November 2017. The 87 papers presented were carefully reviewed and selected from 156 submissions. The papers feature research results i

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Image Analysis and Pattern Recognition for Remote Sensing/IDL

关于遥感影像和模式识别的一本外文数据,其特色在于用IDL实现了很多经典算法,很值得借鉴!

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Pattern Recognition and Machine Learning(高清中英文pdf+matlab代码)

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Pattern Recognition and Machine Learning(PRML)高清中文版PDF

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Pattern Recognition and Machine Learning英文版+中文版+读书笔记

第一章 Introduction 由西安交通大学常象宇博士主讲,深入浅出癿仃终了机器学习癿基本概念、学习理论、模型选择、维灾等。 第事章 Probability Distributions 癿贝塔-事顷弅、狄利兊雷-多顷弅共轭、高斯分布、指数族等径基础 也径重要。出二各种原因我前后讲了三次,直到比较满意为止。 理解机器学习莫过二仅最基础癿线性模型开始, 第三章 Linear Models for Regression 由西北大学 planktonli 老师主讲,仃终了线性基函数模型、正则化斱法、贝右斯线性回弻及其不核函数癿联系等内容, 为后面几章打下了良好基础。 第四章 Linear Mode

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Pattern Recognition and Machine Learning(中文完美版) 含目录

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Pattern Recognition And Machine Learning中英文教程以及完整英文答案

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Pattern+Recognition+and+Machine+Learning(中文版)

1 绪论 2 概率分布 3 回归的线性模型 4 分类的线性模型 5 神经网络 6 核方法 7 稀疏核机 ...

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