搜索资源列表
OpenGL_vckbase20.zip
- OpenGL 是一个三维图形渲染的软件接口,并且得到了硬件加速的支持,用户可以方便地利用 OpenGL,创建出接近光线跟踪的高质量静止或动画的三维彩色图像.本代码的在VC环境下用openGL编制三维绘图简例,让读者快速入门-is an OpenGL 3D graphics rendering software interface, and a hardware-accelerated support, users can easily use OpenGL, creating close tra
noise-plug-in.rar
- telescope3d is a control system for space, near space, and ground based CCD and radio telescope arrays. I am seeking institutional support for the launching of near-space arrays of tensegrity based inflated telescopes in conjunction with my DSc thesi
RsPicture
- 支持浏览window中的大多数图形文件(*.bmp; *.gif; *.jpg; *.ico; *.emf; *.wmf)的COM组件,有详细说明和测试程序- The support glances over in window the majority graphic file (* bmp; * gif; * jpg; * ico; * emf; * wmf) the COM module, has the specify and the test order
libsvm-2.88.zip
- 支持向量机用于实验数据拟合分类优化,速度快,Support Vector Machines for classification optimization of the experimental data fitting, fast
dcmtk-3.5.4-win32-i386-support
- dcmtk-3.5.4-win32-i386-support,很不错的转换dicom文件工具-dcmtk-3.5.4-win32-i386-support, a very good tool to convert DICOM files
svm_src
- Support Vector Machine Classifier(SVM) 基于支持向量基的图像分类方法,程序变得很好,国外网站上下的,是一个完整的工程-Support Vector Machine Classifier (SVM) based on support vector-based image classification methods, procedures have become very good, abroad site from top to bottom, is a
SVM_Tracking
- support vector tracking,2004 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,-support vector tracking, 2004 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,
A_Study_og_Face_Recognition_Methods_Baced_on_Wavel
- 针对灰度图像,提出一种基于知识的人脸检测方法。 提出了一种给予支持向量机的人脸检测方法。 提出了一种基于小波分解的LDA人脸识别方法。 提出了一种基于小波和DCT的人脸识别方法。 提出了一种机遇CEDT和支持向量机的人脸分类和识别方法。 -For gray-scale images, a knowledge-based face detection methods. A support vector machine method of face detection. A wa
SVM_GA
- 提出一种基于支持向量机( SVM)和遗传算法(GA)的离散余弦变换(DCT)域盲数字图像水印方法. 该方法能自适应于图像的局部特征. 依据图像块的局部特性,利用SVM对图像块分类,自适应地确定水印嵌入强度, GA用来优化水印嵌入位置. 实验结果表明该方法有较好的不可见性和较强对抗攻击的鲁棒性.-Based on support vector machine (SVM) and genetic algorithm (GA), discrete cosine transform (DCT) doma
matlab
- 模式识别中的线性分类器的设计,包括感知机,最小二乘法和支撑矢量机的算法的MATLAB代码。-Pattern Recognition linear classifier design, including perception, least squares and support vector machine algorithm MATLAB code.
FaceRec
- 这是一个用matlab实现的基于支持向量机的人脸识别系统,已经本人调试通过,非常有用。-This is a matlab implementation with support vector machine-based face recognition system has been through my debugging, very useful.
code
- 基于Java语言编写的图像分割的代码,使用支持向量机的技术对图像进行分割-Written in Java-based image segmentation code, the use of support vector machine technology for image segmentation
ASW
- 自适应权重立体匹配算法,目前效果最好的局部匹配算法-Local and area-based matching methods generally measure the similarity (or dissimilarity) between the image pixels using local support windows.
fsvmPpca-face-Recognition
- 首先用PCA对ORA人脸图像降维,然后用模糊支持向量机对提取的特征向量进行分类,识别率较高。-First using PCA for dimensionality reduction ORA face image, and then use fuzzy support vector machine to classify the extracted feature vectors, the recognition rate is higher.
support-vector-machine
- 本书主要以分类问题(模式识别,判别分析)和回归问题为背景,系统阐述支持向量机和相应的优化算法-This book mainly classification (pattern recognition, discriminant analysis) and regression as the background, the system describes support vector machine and the corresponding optimization
detail-of-pipe-support
- Typical detail of pipe support - autocad version 2008
Least-squares-support-vector
- Least squares support vector machine SVM toolbox self code and installation methods, useful, tried
support-vector-machine-
- 用支持向量机svm实现分类与函数回归,其中包括svc程序,svc输出程序以及svr绘图程序-Classification and function regression using support vector machine svm, including svc program, svc output of the program as well as a drawing program svr
support-vector-machine-segmentation
- 支持向量机与水平集相结合的方法分割医学图像,并带有肺部医学图像-Support Vector Machine and level set method of combining medical image segmentation and image with lung medicine
Support-Vector-Machines(SVM)
- 支持向量机(SVM)的实现代码和步骤,共包括五个步骤,每一步都有详细的说明。-Support Vector Machine (SVM) implementation code and procedures, including a total of five steps, each step in detail.
