1 Random signals and stochastic processes （Statistical estimation、 Stochastic processes、 Estimation of probability distributions） 2 Linear stochastic modelling（ACF of uncorrelated sequences、ACF of filtered sequences、Cross-correlation function、Autore
支持向量机源码，可在 www.csie.ntu.edu.tw/~cjlin/libsvm/ 下载到最新版本，该版本是 2013年4月更新的，3.17 版。压缩包里面有源代码和文档。以下摘自前述网站： Introduction LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution e
The process of classifying objects is a fundamental fea- ture of most human pursuits, and the idea that people clas- sify together those things that people ¯nd similar is both intuitive and popular across a wide range of disciplines. Es- timation of
This software is a hand detector for static images, designed mainly for human layout estimation Hand detection using multiple proposals Mittal, A., Zisserman, A. and Torr, P. H. S. Proceedings of British Machine Vision Conference, 2011.
% Time-Frequency Toolbox. % Version 1.0 January 1996 % Copyright (c) 1994-96 by CNRS (France) - RICE University (USA). % % Signal Generation Files % % sigmerge - Add two signals with given energy ratio in dB. % % Choice of the Instantaneous Amplitud
“Clear water” is a scale-dependent concept, so it is more likely to successfully find the “clear waters” from images with smaller scale than that with larger scale data. In this study, an optimal spectral relationships of Moderate-resolution Imaging
In this study, an improved MODIS ocean chlorophyll-a (chla) 3 model (IOC3M) algorithm was developed as a substitute for the MODIS global chla concentration estimation algorithm, OC3M, to estimate chla concentrations in waters with high suspended sed
Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the b
% We will try to fit the best ellipse to the given measurements. the mathematical % representation of use will be the CONIC Equation of the Ellipse which is: % % Ellipse = a*x^2 + b*x*y + c*y^2 + d*x + e*y + f = 0 % % The fit-estimation method of us
实用软件项目管理 非常好的资料！ If you're looking for solid, easy-to-follow advice on estimation, requirements gathering, managing change, and more, you can stop now: this is the book for you." --Scott Berkun, Author of The Art of Project Management
对MCMC实现MIMOIn this paper, we develop novel Bayesian detection methods that are applicable to both synchronous code-division multiple-access and multiple-input multiple-output communication systems. Markov chain Monte Carlo (MCMC) simulation techniqu
Chapter 1—Preliminaries 1.1. Computational Intelligence: its inception and research agenda 1.2. Organization and readership 1.3. References Chapter 2—Neural Networks and Neurocomputing 2.1. Introduction 2.2. Generic models of computational neurons 2
Preface About the Editors Part 1—Fundamentals and Neuro-Fuzzy Signal Processing Chapter 1—Fuzzy Logic and Neuro-Fuzzy Systems in Medicine and Bio-Medical Engineering: A Historical Perspective 1. The First Period: The Infancy 2. Further Developments
A Fast Learning Algorithm for Deep Belief Nets (2006) - 首 次提出layerwise greedy pretraining的方法，开创deep learning方向。 layerwise pretraining的Restricted Boltzmann Machine (RBM)堆叠起来构成 Deep Belief Network (DBN)，其中训练最高层的RBM时加入了label。之后对整个DBN进行fine-tuning。在 MNI
