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。
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 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。
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。
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。
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