提出了一种语义向量算法，构建了图像语义关键词网络，实现了图像底层视觉特征和语义的复合索引。
The thesis presents a semantic vector algorithm, builds up the network of image semantic keywords, and realizes the composite retrieval of the image low-level feature and semantics characteristics.
为了提高文本分类的准确性，研究并设计了一个基于潜在语义分析和支持向量机的多类文本分类模型。
A multiclass text categorization model based on latent semantic analysis and support vector machine is researched and designed to enhance the accuracy of categorization.
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。
This paper proposes a new Support Vector Machine(SVM) for anomaly intrusion detection method based on Latent Semantic Indexing(LSI).
利用潜在语义分析进行特征抽取，消除多义词和同义词在文本表示时造成的偏差，并实现文本向量的降维。
Using latent semantic analysis to extract feature, the affect of synonymy and polysemy in text representation process is eliminated and the dimension of text vector is reduced.
理想的视频库组织方法应该把语义相关并且特征相似的视频的特征向量相邻存储。
A perfect video database organization should be that video feature vectors, which are not only semantic relevant but also their visual features themselves similar, are stored continuously.
本文通过认真分析，认为在基于向量空间模型的分类方法中可以适当地借鉴基于语义的分类方法中的权重设置方法。
Therefore, by some analysis, the combination of classification based on vector space model and which based on semantic is one of the best solutions to this problem.
用骨架语片做特征项，用空间向量模型表示文本语义，用语片的出现频度做语片权重，用余弦法计算文本间语义相似度。
Computing the semantic similarity of sentences by the method of cosine, eigenvalue come from the skeleton semantic clip, and the semantics of sentence expressed the vector space model.
本文首先利用传递度来量化索引词与索引词间的关联关系，然后利用索引词与索引词的关系矩阵中存在的语义关系对查询向量进行智能扩展。
In this paper, we use the co-occurrence path to explain the relationship between the index words and extract the semantic information in the term-term matrix to expand the query.
本文介绍了基于向量空间的常用距离的算法，并在概念语义空间的基础上，提出一种面向主题的距离和分类的算法。
This paper introduces a common distance algorithm based on vectorial space, and proposes novel distance and classification algorithms which orient the topic on the basis of concept-semanteme space.
提出基于语义空间的支持向量机的文本过滤，用语义来表示文本和用户模板。
The proposed method was based on vector support machine of semantic space in which text and user profile were represented by the semantic space.
本文提出了两个新的图上关键字搜索算法，使用了现代信息检索技术中的向量空间模型和随机游走模型来解决以上缺陷，使得查询结果更具语义信息。
In this paper, two novel algorithms are introduced, which employ the vector space model and random walk model to address the drawbacks above and make the results more semantical.
利用支持向量机对镜头关键帧进行语义分类，对每类镜头关键帧根据引入的镜头“重要性”函数提取构建视频摘要的帧。
The shot key frames are classified by SVM and the frames constructing the video summarization are selected from the shot key frames of every class by the importance function introduced.
文中从基于向量空间的反馈技术的分析入手，利用概念图的知识，提出了基于语义的相关反馈技术。
Firstly the paper analyzes the defect of technique of the VSM model. And then put forward one technique based - on semantic for relevance feedback, using the knowledge of conceptual graphs.
对基于语义的向量空间模型的生成步骤做了详细的论述，对基于语义的和基于词形的两种分类系统的性能做了比较实验。
This paper gives the details of the building of the Vector Space Model based on the semantics. The experiments are carried on the system based on the semantics and the system based on the lemma.
对基于语义的向量空间模型的生成步骤做了详细的论述，对基于语义的和基于词形的两种分类系统的性能做了比较实验。
This paper gives the details of the building of the Vector Space Model based on the semantics. The experiments are carried on the system based on the semantics and the system based on the lemma.
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