搜索资源列表
plsa
- Probabilistic Latent Semantic Analysis模型实现，用于目标识别或文本识别
基于内容的图像检索
- 基于内容的图像检索，里面也包含了图像语义方面的内有，比如关键字的提取 特征向量的提取等待,Content-based Image Retrieval, which also contains images, there are semantic aspects, such as keyword extraction extraction eigenvector wait
plsa
- 该matlab代码实现了plsa算法。plsa全称是概率隐语义分析，是一个非常重要的隐语义分析模型。-This matlab code implements plsa algorithm, which is the short of probability latent semantic analysis and is a very important latent semantic analysis model.
segment
- 一个快速的图像分割算法，该算法速度非常快，并且能识别纹理，所以分割结果很具语义性。-A fast image segmentation algorithm is very fast, and can identify the texture, so the result is a segmentation semantic.
plsa
- 概率潜在语义分析Probabilistic Latent semantic alnalysis，完整程序包-Probabilistic Latent Semantic Analysis Probabilistic Latent semantic alnalysis, complete package
101259371chat
- 图像检索的的基于语义的图像检索 纹理图像检索 图像的特征提取方法-Image Retrieval of semantic-based image retrieval image retrieval image texture feature extraction methods
ImageSearchNewPro
- 毕业设计之用的，功能全面的基于语义的图像检索程序，希望对大家提供帮助。-Designed graduation purposes, full-featured semantic-based image retrieval procedures, and they hope to help everyone.
opencv
- 本翻译是直接根据 OpenCV Beta 4.0 版本的用户手册翻 译的，原文件是： <opencv_directory>/doc/ref/opencvref_cv.htm, 可 以从 SOURCEFORG 上面的 OpenCV 项目下载，也可以直 接从 阿须数码 中下载： http://www.assuredigit.com/incoming/sourcecode/o pencv/chinese_docs/ref/opencvref_cv.htm。 翻译
yujijinzhan
- 这是关于语义图像检索进展的一片论文，很好的综述性文章，希望研究图像语义的朋友一起学习- Semantic image retrieval has been a crux to bridge“semantic gap”between the simple visual features and the abundant semantics delivered by an image. The state of the art of semantic image retrieval is g
LSA
- 用于文本语义分析的潜在语义分析算法LSA(Latent Semantic Analysis)，包含详细的函数说明，原理分析及数据。相比原来版本的LSA，增加了文件demo.m以增加可视化效果，更有利于读者使用。--Semantic Analysis for Text of Latent Semantic Analysis Algorithm LSA (Latent Semantic Analysis), contains a detailed descr iption, principles o
iccv09-sceneDecomposition
- 斯坦福的牛人写的基于语义的图像分割，发表宰了ICCV2009上，很值得参考。-Stanford' s cattle were written based on semantic image segmentation, published slaughtered ICCV2009 on worth considering.
10.1.1.26.9327
- aleix@ecn. Semantic queries to a database of images are more desirable than low-level feature queries, because they facilitate the user s task. One such approach is the object-related image retrieval. In the context of face images, it is of
10.1.1.74.5643
- aleix@ecn. Semantic queries to a database of images are more desirable than low-level feature queries, because they facilitate the user s task. One such approach is the object-related image retrieval. In the context people s names and facia
LitSurveyReport
- aleix@ecn. Semantic queries to a database of images are more desirable than low-level feature queries, because they facilitate the user s task. One such approach is the object-related image retrieval. In the context of face images, it is of
TextonBoostSplits
- Sxena等人发表的关于图像语义分割的源代码，C#代码，包含训练需要的数据集和测试集-Sxena, who published the image semantic segmentation on the source code, C# code, including training needs of the data set and test set
image-retrive-semantic--annotation
- 这儿是关于图像检索的资料和代码。也有我自己写的程序。关于聚类的 -Here is information on image retrieval and code. Have to write my own program. About Clustering
Semantic-Segmentation
- CVPR2012_oral Weakly Supervised Structured Output Learning for Semantic Segmentation-We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in t
Semantic-Description
- 文章主要介绍了分层语义描述的概念及其在图像理解中的应用-This paper mainly introduces the concept of hierarchical semantic descr iption of the image Comprehension
Semantic-based-image-annotation
- 基于语义图像注释系统的设计与实现，里面有实现代码-Semantic-based image annotation system design and implementation
Image-region-annotation-semantic
- 区域语义多样性密度的图像标注。图像标注的好论文。-Image region annotation semantic diversity density. Image annotation good paper.