基于语义的自然图像检索及相关反馈算法研究_原创论文 关键词：lw58.com 图像检索；主颜色；语义矩阵；相关反馈 [gap=533]Key words: image retrieval; dominant colors; semantic matrix; relevance feedback
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semantic adjacent matrix 语义相邻矩阵
matrix semantic 语意矩阵
semantic co-occurrence matrix 语义共现矩阵
Through segmenting the images into pieces, extracting the histograms of every piece, dominant colors have been extracted. At the same time, through semantic matrix an d relevance feedback, image semantic extract and retrieval have been achieved.
该文通过对图像进行分块，提取各子块颜色直方图构建出各图像的主颜色信息，建立语义矩阵，完成了图像的提取，通过相关反馈完成了图像的检索。
参考来源 - 基于语义的自然图像检索及相关反馈算法研究—《电脑知识与技术》—2008年第36期—龙源期刊网·2,447,543篇论文数据，部分数据来源于NoteExpress
In this paper, the defects latent semantic analysis, probabilistic latent semantic analysis using methods to construct the text-the words of co-occurrence matrix, using the em algorithm to solve.
本文针对潜在语义分析存在的缺陷，采用概率潜在语义分析的方法构造文本——词语的同现矩阵，使用EM算法进行迭代求解。
This paper presents methods of mechanical matching, feature lexicon, binding matrix, grammar analysis and semantic understanding for the Chinese language automatic word segmentation.
本文给出了为汉语自动分词而提出的机械匹配法、特征词库法、约束矩阵法、语法分析法和理解切分法。
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。
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