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subspace_J21
- Input: X, training data, dim*num Y, training data labels, num*class para.alpha, para.beta, regularization parameters para.rd, reduced dimensionality Web Image Annotation via Subspace-Sparsity Collaborated Feature Selection. Zh
Recall_precision_F_re1
- 查准率与查全率的计算代码。使用matlab编写完成的。可以计算图像标注的查准率与查全率。-Precision and recall rate calculation code. Prepared using matlab complete. Image annotation can be calculated with precision recall rate.
Anno_word_compare
- 图像标注算法得到的标注词与图像的真实标注的比较文件。可以计算处到底标注对了。还是错了。1代表正确，0代表错误。-Image annotation algorithm annotation word mark and image of the real comparison of files. Can calculate the right place in the end mark. Or wrong. A representative of the right, 0 errors.
IMAGEANNOTATIONBASED-ONENSEMBLE
- 基于底层特征的图像内容和人为理解的图像语义之间存在“语义鸿沟"的现象，而基于图像底层视觉特征的图像自动标注技术，能够实现从图像的底层特征中提取出高级语义信息的关键字来标注图像，能很好的解决这一难题-Based on the underlying features of image content and image semantic understanding of human existence between the " semantic gap" phenomenon,
Thereseachofimage
- 图像 自动 标注 通过分析 训练集 ，学习 图像 和标注词 之间的关系，得出 之间的关系，得出 一些规则， 然后使用这些规则 自动 推导出 图像 最适合的标注词 ，这些标注词代表了图像的 ，这些标注词代表了图像的 高层 语义信息 。-Automatic image annotation by analyzing the training set, learning image and mark the relationship between words, the relationship be
AReview-on-ImageAnnotation
- 图像注释有多种方法。 目前主要有三种方法：基于对象分割的图像注释方法、基于固定大小分块的图像注释方法以及分类方法。本文将综述当前该 领域的研究现状。-are，Image annotation based On object segmentation，image annotation based on fixed-size image partition and image classification．This paper will summarize the research st
biaozhu
- 一个标注83个点的基于gdi图像编程的人脸标注软件-A marked 83 points gdi-based image annotation software programming Face
M3LDA
- 多模多实例多类标LDA的代码。参考文献：C.-T. Nguyen, D.-C. Zhan, and Z.-H. Zhou. Multi-modal image annotation with multi-instance multi-label LDA. In: Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 13), Beijing, China, 2013.
MIMLNN
- 基于多实例多标记的图像学习，在多实例多标记学习框架的采用matlab语言设计的实验-In image annotation and retrieval, one image often has multiple labels owing to its complicated semantics, whereas different image regions often provide different hints for the labels.
Image-recognition-and-location
- 图像识别定位，有分节注释，提供原图和运行结果图-Image recognition and location, there are sections of annotation, provide the original and the running result diagram
3Semantic-content-analysis-and-annotation-of
- the demand for automatically recognizing and retrieving medical image for screening,reference and management is growing faster than ever.In this paper present an intelligent content based image retrieval system called I-Browsewhich integrate both ico
MildML_0.1-Matlab.tar
- 图像标注算法 MildML 的 matlab 代码, 多示例学习标注算法-image annotation algorithm of MildML in matlab code of <Multiple Instance Logistic Discriminant-based Metric Learning (MildML) and Logistic Discriminant-based Metric Learning (LDML)>
SVMs-for-Object-Detection-and-Beyond
- 图像标注中的 基于SVM的图像目标检测算法-image annotation, SVMs for Object Detection and Beyond
plsa.tar
- PLSA，概率潜在语义算法,用于寻找变量之间的隐隐含变量，常用于图像标注、图像检索、计算机文本检索-PLSA, probabilistic latent semantic algorithm for finding faint containing variables between variables, commonly used in image annotation, image retri , computer text retri
Label-Me
- 关于图像标注的源码 值得收藏matlab 代码 -image annotation
sloth.tar
- image annotation tool
sloth_linux5.tar
- This software is an image annotation tool.
sparse
- 这个代码是图像标注中基于图模型的稀疏图算法的代码- 这个代码是图像标注中基于图模型的稀疏图算法的代码 This code is the code image annotation algorithm based on sparse graph graph model of
CharacterRecognitionLibsvm1
- 利用支持向量机对图像进行分割，标注背景和目标图像训练点，再进行SVM的训练。-SVM for image segmentation, image annotation background and objectives of the training points, then SVM training.
pylabelme-master
- 图像注释，用Python编写的，并使用Qt的图形界面。-Image Annotation, it is written in Python and uses Qt for its graphical interface.