与模式识别第四版,李晶皎,同一作者The aim of this book is to serve pedagogic goals as a complement of the book Pattern Recognition, 4th Edition, by S. Theodoridis and K. Koutroumbas (Academic Press, 2009). It is the offspring of our experience in teaching pattern re
一个英文版的模式识别。 The aim of this book is to serve pedagogic goals as a complement of the book Pattern Recognition, 4th Edition, by S. Theodoridis and K. Koutroumbas (Academic Press, 2009). It is the offspring of our experience in teaching pattern recogni
An accompanying manual to Theodoridis/Koutroumbas, Pattern Recognition, that includes Matlab code of the most common methods and algorithms in the book, together with a descr iptive summary and solved examples, and including real-life data sets in i
Chapter 1. Introduction 1.1 Is Pattern Recognition Important? 1.2 Features, Feature Vectors, and Classifiers 1.3 Supervised, Unsupervised, and Semi-Supervised Learning 1.4 MATLAB Programs 1.5 Outline of the Book Chapter 2. Classifiers Based on Bayes
具体描述Glow编译器的基础知识，glow是通过减少计算图的计算量来优化的have implemented a high-level intermediate represen
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tation that allows a compiler to reason about and
Value: 0.000000e+C0 output: floaK
optimize high-level constructs such as tensors and
