Preface to Book This book isn't an introduction to object-oriented technology or design. Many books already do a good job of that. This book assumes you are reasonably proficient in at least one object-oriented programming language, and you should h
paxCompiler is an embeddable cross-platform compiler of the Object Pascal, Basic and javascr ipt programming languages. The key features of the paxCompiler are: The compiler generates machine code for Intel compatible processors (IA-32/64 architectu
paxCompiler is an embeddable cross-platform compiler of the Object Pascal, Basic and Javascr ipt programming languages. The key features of the paxCompiler are: The compiler generates machine code for Intel compatible processors (IA-32/64 architectu
Panasonic AC Sizing Wizard HD 5.0.0 大小：45.13MB 更新时间：2015-01-18 Optimised for Tablets, The Panasonic Aircon Sizing Wizard.Not sure what size air conditioner you need? This is the app for you. Simply enter some basic details about your room and the ap
Learn the algorithms and tools you need to build MapReduce applications with Hadoop and Spark for processing gigabyte, terabyte, or petabyte-sized datasets on clusters of commodity hardware. With this practical book, author Mahmoud Parsian, head of
An energy-balanced multiple-sensor collaborative scheduling is proposed for maneuvering target tracking in wireless sensor networks (WSNs). According to the position of the maneuvering target, some sensor nodes in WSNs are awakened to form a sensor
7187_06.pdfThe interatomic separation 1.2 nm in the strings is not determined by the nearest-neighbor distance 0.26 nm of the Cu atoms along the step edge but by the wavelength of the surface-state charge density oscillations.
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
Contents Preface xiii 1 Introduction 1 1.1 A Difficult Problem 1 1.2 The Human Vision System 2 1.3 Practical Applications of Computer Vision 3 1.4 The Future of Computer Vision 5 1.5 Material in This Textbook 6 1.6 Going Further with Computer Vision
Learning to Hash with its Application to Big Data Retrieval 是课程结课作业，简单的介绍了LSH（局部敏感哈希） 主要分以下几部分内容 1.Nearest Neighbor Search (Retrieval) 2.Two Stages of Hash Function Learning 3.Hash Fuction 4.LSH 5.Application 6.Evaluation
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamen
Get to grips with key data visualization and predictive analytic skills using R About This Book Acquire predictive analytic skills using various tools of R Make predictions about future events by discovering valuable information from data using R Co
Get a crash course in Python ■■ Learn the basics of linear algebra, statistics, and probability— and understand how and when they're used in data science ■■ Collect, explore, clean, munge, and manipulate data ■■ Dive into the fundamentals of machine
SMMC 解决流形聚类问题 好用 function [cluster_labels,ppca_label,mse,time_mppca,time_smmc,time_sc,W] = smmc(X,nClusts,ppca_dim,ncentres,knn,power) %%%% spectral multi-manifold clustering (smmc) algorithm %%%% Input % X D by N data matrix D*N的矩阵 % nClusts number
