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MIT人工智能实验室的目标识别的源码,MATLAB版本的,不错的(MIT artificial intelligence laboratory identification of the target source, version of the MATLAB, pretty good)
Date : Size : 10kb User : Datnmdv

一个人工智能的算法求解组合优化问题的源码 不错的源码(An algorithm to solve combinatorial optimization problems of artificial intelligence source of good source)
Date : Size : 4kb User : mxqhpulbtmr

PSS primary synchronization signal in the time domain simulation related, Convolution operation is intended to signal and image rendering, MIT Artificial Intelligence Laboratory identification of the target source.
Date : Size : 7kb User : fingpunqen

Complete class-based image processing, contains all of the source code, auto image, There are cycle detection, periodic testing, MIT Artificial Intelligence Laboratory identification of the target source.
Date : Size : 58kb User : fentanhen

随着现代社会的发展,信息的形式和数量正在迅猛增长。其中很大一部分是图像,图像可以把事物生动地呈现在我们面前,让我们更直观地接受信息。同时,计算机已经作为一种人们普遍使用的工具为人们的生产生活服务。从图像中提取文字属于信息智能化处理的前沿课题,是当前人工智能与模式识别领域中的研究热点。由于文字具有高级语义特征,对图片内容的理解、索引、检索具有重要作用,因此,研究图片文字提取具有重要的实际意义。又由于静态图像文字提取是动态图像文字提取的基础,故着重介绍了静态图像文字提取技术。(With the development of modern society, the form and quantity of information are growing rapidly. Which is a large part of the image, the image can be vividly presented in front of us, let us more intuitive to accept the information. At the same time, the computer has served as a popular tool for people's production and life services. Extracting the text from the image belongs to the forefront of information intelligent processing, which is the research hotspot in the field of artificial intelligence and pattern recognition. Because the text has high semantic features, it has important effect on the understanding, index and retrieval of picture content. Therefore, it is of great practical significance to study the extraction of picture text. And because the static image text extraction is the basis of dynamic image extraction, it emphasizes the static image text extraction technology.)
Date : Size : 207kb User : lj557

随着科学技术的飞速发展,机器学习与人工智能技术的不断创新,人们对特定信息检索的需求逐渐增加,使得如何对资源进行合理有效的分类成为一个关键问题。近几年来,基于内容的图像分类的研究焦点主要集中在自然图像的场景分类和物体分类两个方面,大多采用有监督学习方法,通过对底层特征建模和中间语义分析来实现分类。 本文基于Libsvm的图像分类研究及实现,主要针对的是物体分类这一方面,选用了五类水果作为分类研究的对象。对图像进行分类的大体步骤主要包括采集图像样本(主要从Web上获取)、图像预处理(如截成大小一致的图片)、特征向量提取、结合Libsvm进行模型训练、对测试图片进行分类测试。(With the rapid development of science and technology, the continuous innovation of machine learning and artificial intelligence technology, the demand of people for specific information retrieval increases gradually, and how to classify resources reasonably and efficiently becomes a key issue. This article based on Libsvm image classification research and implementation, mainly for the object classification on the one hand, the selection of five types of fruit as the classification of the object of study. The general steps of image classification include collecting image samples (mainly obtained from the Web), image preprocessing (such as cutting the same size of the image), feature vector extraction, combined with Libsvm model training, the test images were classified test.)
Date : Size : 1kb User : 安安*

独立成分分析的Fast-ICA算法.可用于图像处理、信号分析、模式识别、人工智能(independent component analysis method based on negentropy.It can be used in image processing, signal analysis, pattern recognition and artificial intelligence)
Date : Size : 1kb User : GR-Gloria

人工智能人脸识别人js接口,aip-node-sdk-1.4.1.zip下载减压即可(Artificial intelligence face recognition)
Date : Size : 36kb User : 我是来下载的

模式识别与人工智能(基于MATLAB)的源代码(Pattern recognition and artificial intelligence (based on MATLAB) source code)
Date : Size : 13.46mb User : 星斗月辉
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