Text summary based on latent semantic indexing is presented in this paper.
给出了基于潜在语义索引的文本摘要方法。
This paper discusses two semantic indexing methods:LSI and its revised format IRR.
本文主要探讨两种实现语义检索的索引：潜语义索引和其修正形式。
This paper proposes a new method for meaning clustering called 'Supervised Probabilistic Latent Semantic Indexing' (SPLSI).
本文提出了一种语义聚类和扩展的新方法，称为有指导的统计隐含语义标引(SPLSI)算法。
Latent semantic indexing (LSI), the third generation of search engine's hot technology, is a personalized research approach.
潜在语义索引技术(LSI)是第三代搜索引擎的热点技术，是一种个性化的检索方法。
Latent Semantic Indexing is going to change the search engine game; you will need to change your seo efforts to pay off big time.
潜在语义索引的搜索引擎都不会改变游戏；你将需要更改你的努力汉城大内还清。
Text-based searcher agents usually have some kind of natural language processing built in and, in some cases, latent semantic indexing.
基于文本的searcher代理通常都内置有某种类型的自然语言处理，在某些情况下，还具有隐性语义索引。
This paper proposes a new Support Vector Machine(SVM) for anomaly intrusion detection method based on Latent Semantic Indexing(LSI).
论文提出了一种基于潜在语义索引（LSI）和支持向量机（SVM）的异常入侵检测方法。
The search engine ranking for a particular website will have to pass several processes in the latent semantic indexing based search engine optimization.
搜索引擎排名为某网站将通过几个程序在潜在语义索引的搜索引擎优化。
The main contributions include: 1 a novel dimension reduction method, Supervised Latent Semantic Indexing SLSI, was proposed to represent documents for text classification tasks.
第一，提出一种有监督的潜在语义索引(SLSI)模型降维方法，用于文本分类任务中的特征表示。
This paper briefly describes the background of text filtering and puts forward the logic model for Chinese-English cross-language text filtering based on Latent Semantic Indexing.
文章简要地描述了文本过滤的背景，提出了基于潜在语义索引的中英文双语交叉过滤的逻辑模型。
In the spectrum of standards, SKOS contributes by bridging the gap between traditional indexing and formal ontologies for the Semantic Web.
在标准的谱系中，SKOS的作用是衔接传统的索引和语言web的正式本体。
This concept isn't new — the recognition that glossaries and indexing make semantic assertions contributed to the development of TopicMaps.
这个概念并不新——关于术语表和索引进行语义断言这个认识对TopicMaps贡献很大。
A Web-indexing agent that turns documents into formal Semantic Web-based knowledge
Web索引代理，将文档转变成正式的基于语义 Web 的知识
As a senior semantic information, they may do great help to video indexing and video content understanding.
视频文字作为一种高级语义信息，对视频内容的理解、索引具有重要作用。
Then we realize anchorperson shot detection and video news indexing based on semantic faces, which shows video object's important usage in analysis of video semantic contents.
然后基于语义人脸实现了主持人镜头检测和视频新闻结构化算法，体现了视频对象正视频内容分析中的基础作用。
The traditional way of document indexing based on subject words and can't work well in the network environment because of the lack of the ability of semantic deducing.
传统的采用主题词和关键词对文档进行标引的方法，由于不能提供语义推理而越来越不适合目前的网络环境。
This paper introduced the technology of content based image indexing and retrieval concisely. It propose to increase high level semantic describe of image to approach visual sense of human being.
本文通过对现有基于内容图像标引及检索技术的简要介绍，提出应在现有系统中增加图像的高层语义概念描述，以更接近于人的视觉效果。
The same time, it raise a new structure of system of content based image indexing and retrieval which can adapt oneself for adding successful semantic users did to semantic database.
同时提出一种基于内容的图像标引与检索系统结构，能自适应的在图像语义库中添加较为成功的语义表述。
The authors mainly discussed OVSR's ontology structure, video semantic model and indexing model, and studied the user's searching rewriting algorithm and ontology reasoning algorithm.
主要论述OVSR的本体架构，视频语义模型和索引模型，研究OVSR的查询重写算法以及本体推理算法。
As the text with high-level semantic feature and plays an important role on understanding, indexing and retrieval image content.
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。
As the text with high-level semantic feature and plays an important role on understanding, indexing and retrieval image content.
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。
应用推荐