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[Special Effects] VCimagerecognition DL : 0: 《精通VisualC++数字图像处理模式识别技术及工程实践》介绍了模式识别和人工智能中的一些基本理论，以及一些相关的模型，包括贝叶斯决策、线性判别函数、神经网络理论、隐马尔可夫模型、聚类技术等，同时结合模式识别中的一些问题，比如字符识别、笔迹鉴定、人脸检测、车牌识别、印章识别以及遥感图片、医学图片处理等内容，从多种角度，介绍了解决这些问题的思路-" Proficient in VisualC++ digital image processing, pattern recognition technology and engineering practice," describes the pattern recognition and artificial intelligence in some of the basic theory, and a number of related models, including Bayesian decision-making, linear discriminant function, neural network theory, hidden Markov Cardiff model, clustering technologies, combined with pattern recognition in a number of issues, such as character recognition, handwriting identification, face detection, license plate recognition, seals, and remote-sensing image recognition, medical image processing and other content, from several angles, introduced ideas to solve these problems
Date : Size : 10.64mb User : 吴晶
[Special Effects] AI DL : 0: 人工智能课程课件及相关对图形图像进行辉度变换处理，使其边缘达到要求的效果。-Courseware on Artificial Intelligence and related graphics image brightness transform processing, to the edge of the required results.
Date : Size : 20.25mb User : ymw
[Special Effects] face_detecton DL : 0: this article is about face detection in artificial intelligence
Date : Size : 1.85mb User : mahnaz
[Special Effects] survey-on-the-image-segmentation DL : 0: 图像分割是图像分析和模式识别的首要问题，也是图像处理的经典难题之一。文中对图像分割方法进行了系统研究论述，先对图像分割的定义、要求进行简单介绍，然后对阙值化、基于边缘方法、基于区域的方法、基于模型的方法和基于人工智能的方法等主要的图像分割方法进行研究论述，比较了它们的优缺点。-Image segmentation image analysis and pattern recognition is the primary issue, but also the classic problem of image processing. In this paper, image segmentation methods discussed system, the first definition of image segmentation, called for a brief introduction, then the threshold of, based on the edge of the approach, region-based methods, model-based methods and methods based on artificial intelligence and other major The study discusses the image segmentation method, compared with their advantages and disadvantages.
Date : Size : 365kb User : 王文
[Special Effects] Imageprocessing_BJU DL : 0: 北京交通大学数字图像处理课程PPT，包括图像处理系统、正交变换、图像增强、图像复原、图像重建、数字形态学、人工智能等-Beijing Jiaotong University, digital image processing program PPT, including image processing system, orthogonal transformation, image enhancement, image restoration, image reconstruction, mathematical morphology and artificial intelligence
Date : Size : 38.39mb User : Jack
[Special Effects] afforge_src DL : 0: AForge.NET 是一个专门为开发者和研究者基于C#框架设计的，他包括计算机视觉与人工智能，图像处理，神经网络，遗传算法，机器学习，机器人等领域。-AForge.NET is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence- image processing, neural networks, genetic algorithms, machine learning, robotics, etc.
Date : Size : 500kb User : rowe
[Special Effects] Gabor-based-feature-extraction- DL : 0: 基于Gabor特征提取和人工智能的人脸检测系统源代码-Gabor-based feature extraction and artificial intelligence source code of face detection system
Date : Size : 401kb User : sun
[Special Effects] ObjectSegmentation- DL : 0: 对图像的目标分割，从复杂的图像中识别出物体的轮廓，属于人工智能范畴-The goal of image segmentation from complex images to identify the outline of objects belonging to the artificial intelligence areas
Date : Size : 2.67mb User : liangjia
[Special Effects] face DL : 0: 人脸识别因其在安全验证系统、信用卡验证、医学、档案管理、视频会议、人机交互、系统公安(罪犯识别等)等方面的巨大应用前景而越来越成为当前模式识别和人工智能领域的一个研究热点。-Face recognition because of its great future security verification systems, credit card verification, medical records management, video conferencing, human-computer interaction, the system public security (criminals identification, etc.) has increasingly become the current field of pattern recognition and artificial intelligence a hot research topic.
Date : Size : 693kb User : zgl
[Special Effects] HMM DL : 0: 隐马尔科夫模型的matlab工具箱，可用于语音识别、步态识别等人工智能研究领域-Hidden Markov model matlab toolbox, can be used for speech recognition, gait recognition research fields such as artificial intelligence
Date : Size : 34kb User : windy
[Special Effects] Gabor-face-detection-code DL : 0: 基于Gabor特征提取和人工智能的人脸检测系统源代码方便初学者学习使用包含gabor 提取和最后的人脸匹配核心算法-Gabor feature extraction and artificial intelligence-based face detection system source code easy for beginners to learn to use
Date : Size : 192kb User : 熊一
[Special Effects] 超声 DL : 0: 该文档包含的内容主要是人机交互、人工智能、超声(The document contains the main contents of human-computer interaction, artificial intelligence, ultrasound)
Date : Size : 9.35mb User : 丸子0933
[Special Effects] confoapt-decimal DL : 0: 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
[Special Effects] iducr DL : 0: 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
[Special Effects] jsttg DL : 0: 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
[Special Effects] Colorhist_Libsvm_dem DL : 0: 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*
[Special Effects] 基于负熵的FastICA DL : 0: 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
[Special Effects] aip-node-sdk-1.4.1 DL : 0: 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

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