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Description: This paperpresent a novel framework for inferring global behaviour patterns through modelling behaviour correlations in a wide-area scene and detecting any
anomaly in behaviours occurring both locally and globally. Specifically,
This paperpropose a semantic scene segmentation model to decompose a wide-area
scene into regions where behaviours share similar characteristic and are represented as classes of video events bearing similar features. To model behavioural correlations globally, This paperinvestigate both a probabilistic Latent Semantic Analysis (pLSA) model and a two-stage hierarchical pLSA model for
global behaviour inference and anomaly detection. The proposed framework
is validated by experiments using complex crowded outdoor scenes.
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Size: 497664 |
Author: shpark |
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Description: 通过图模型表示本体中概念以及概念之间的语
义关系，用来将一个概念和一个文档扩展为一个语义模糊集，并计算模糊集合之间的相似度。-Between the concept and the concept of language in the body through the graph model
Justice relationship, to a conceptual and a document extension is a semantic fuzzy set, and calculate the similarity between fuzzy sets.
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Size: 443392 |
Author: 王海涛 |
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Description: 入了马尔科夫模型来计算词汇语义相似度，
实验证明，算法取得较理想的实验结果．
关-Into the Markov model to calculate the lexical semantic similarity
Experiments show that the algorithm to obtain better experimental results.
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Size: 262144 |
Author: 王海涛 |
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Description: 一种基于期望最大化( E M) 算法的局部图像特征的语义提取方法。首先提取图像的局部图像特 征， 统计特征在视觉词汇本中的出现频率， 将图像表示成词袋模型； 引入文本分析中的潜在语义分析技术建立从低层图像
特征到高层图像语义之间的映射模型； 然后利用 E M 算法拟合概率模型， 得到图像局部特征的潜在语义概率分布； 最后利 用该模型提取出的图像在潜在语义上的分布来进行图像分析和理解。-Latent Semantic probability distribution using the EM algorithm to fit a probability model, the image characteristics Finally, the distribution of the model to extract the image on the latent semantic image analysis and understanding.
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Size: 8192 |
Author: liushurong |
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Description: MPI is a language-independent communications protocol used to program parallel computers. Both point-to-point and collective communication are supported. MPI "is a message-passing application programmer interface, together with protocol and semantic specifications for how its features must behave in any implementation."[1] MPI s goals are high performance, scalability, and portability. MPI remains the dominant model used in high-performance computing today.[2]
MPI is not sanctioned by any major standards body nevertheless, it has beco-MPI is a language-independent communications protocol used to program parallel computers. Both point-to-point and collective communication are supported. MPI "is a message-passing application programmer interface, together with protocol and semantic specifications for how its features must behave in any implementation."[1] MPI s goals are high performance, scalability, and portability. MPI remains the dominant model used in high-performance computing today.[2]
MPI is not sanctioned by any major standards body nevertheless, it has beco
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Author: honddo |
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Description: The Visual Semantic Web (VSW) is a new paradigm
for enhancing the current Semantic Web technology. VSW
is based on Object-Process Methodology (OPM), which
enables modeling of systems in a single graphic and textual
model. VSW provides for representation of knowledge
over the Web in a unified way that caters to human
perceptions while
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Size: 316416 |
Author: stefi |
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Description: The Visual Semantic Web (VSW) is a new paradigm
for enhancing the current Semantic Web technology. VSW
is based on Object-Process Methodology (OPM), which
enables modeling of systems in a single graphic and textual
model. VSW provides for representation of knowledge
over the Web in a unified way that caters to human
perceptions while
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Size: 417792 |
Author: stefi |
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Description: 本规范描 述了用 JavaTM 语言编写的多线程程序的语义 包括多线程更新共享内存时,读操 作能看到什么值的规则。因为本规范与不同的硬件架构的内存模型相似,所以,这 里的语义都指的是 JavaTM 内存模型。-This specification describes the semantics of JavaTM language multithreaded programs including multi-threaded update the shared memory, reads the rules to see what the value is. Because of the similarity of the specification with different hardware architectures memory model, so here are referring JavaTM semantic memory model.
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Size: 1256448 |
Author: sdfd |
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Description: 用vc开发的三维模型标准器：主要用于三维模型的分割，分割后的语义标注。-Vc development of three-dimensional model of the standard device: three-dimensional model is mainly used to split, split semantic annotation.
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Description: 论文主要的工作是设计与实现了关系数据库到RDF(S)的映射工具。论文从关系数据库和RDF(S)的对应关系入手，分析了二者的形式化定义。根据论文提出的映射方法，论文设计实现了关系数据库到RDF(S)的自动映射工具，映射工具为了更进一步的提取关系数据库的语义信息，详尽的分析了关系数据库的元组、主键、外键及数据库数据。并用提取到的信息分别完成模式映射，数据映射，实现了RDF(S)本体中模式部分和数据部分的分开存储。最后生成RDF(S)文档。并通过大量的实例数据的验证，证明了论文所设计的关系数据库到RDF(S)映射工具的正确性和优越性。-The main work of this thesis is to design and implement a mapping tool relational to RDF(S). This thesis analyzes the formal definition of the relational schema and the RDF(S) data model form the corresponding relations between the relational and RDF(S). According to the thesis proposed the mapping method, the thesis further design and implement a automatic mapping tool relational to RDF(S),the mapping tool extracts semantic information in relational by analyzing primary keys, attributes, foreign keys and partial data. According to which, the mapping tool completed schema mapping, data mapping and achieved a separate storage of RDF(S) ontology model section and data section. Finally generated a RDF (S) document. The thesis verified the correctness and superiority of the mapping tool through a lot of experiment.
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Author: 岳明亮 |
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Description: RDF是为了模式自由的信息提供的一种数据表达方式，在语义网语料库、生命科学、web2.0平台上发展迅速。-RDF is a data in order to model the freedom of expression of information provided by the rapid development of the Semantic Web corpora, life sciences, web2.0 platform.
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Size: 253952 |
Author: 冯佳颖 |
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Description: hanlp源码，包括各种分词算法的实现，比如隐马尔科夫模型，条件随机场模型，N最短模型等，还有语义分析，情感分析等-hanlp source, including a variety of sub achieve segmentation algorithm, such as hidden Markov model, conditional random, N shortest models, as well as semantic analysis, sentiment analysis, etc.
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Size: 413696 |
Author: aibotina |
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Description: 语义网数据的大量增加使得RDF数据查询成为一个重要研究主题。关键词查询方式不需要掌握数据模式或查询语言，更适合普通用户使用。文中提出一种RDF数据关键词查询方法KREAG(Keyword query over RDF data based on Entity-triple Association Graph)-A substantial increase in the Semantic Web RDF data query such data become an important research topic. Keyword query does not need to know where the data model or query language, more suitable for ordinary users. This paper proposes a keyword RDF data query method KREAG (Keyword query over RDF data based on Entity-triple Association Graph)
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Author: jim |
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Description: 隐含语义索引及其在中文文本处理中的应用研究.信息检索本质上是语义检索，而传统信息检索系统郝走基于独立词索引，因此检索效果并不理想．臆含语义索
引是一种新型的信息检索模型，它通过奇异值分解，将词向量和文档向量投影到一个低苹空间，消减了词和文档之间的
语义模糊度，使得文档之间的语叉关系更为明晰．实验和理论结果证实了臆台语艾索引能够取得更好的检索艘果奉吏
论述了臆舍语叉索引的理论基础t研究了臆舍语叉索引在中文文本处理中的应用，包括中文文本持索、中文丈本分类扣
中文文本聚妾等．-Inforrnatlon retri ise8sentially semanticretri
the contents of documents and queries with a8et of index terms
lndex(LSI)is a new aIgebralc model for information retri ，
However，most classic Inforrnatl⋯ etri 8ystems represent
which can lead to poorretri performance．I。atent semamlc
which map8 document9 and querlesvecto⋯ nto a lower dimpn—
slona【8pacc by 8mgular value decomp。8ldon，so that the lnherent vagueness as80clated with a retnml process based on key一
Ⅷd setsls cons讨mbly reduced and semantic a8sociatbn amo“g the document8 ls h‘ghlLghted con88quently．TbeoretIcanaly—
sesand elperl唧tal resul拈aU show that LSl can impr。ve retrI performance signlficantIy．Thl8 pa卵rIntroduces the ftmda
mental prInclples of LSI and explores i协8pplicatlons in Chine8e text processi“g，mcludi“g Chinese text retn ·Chlnese t}xt
clas虬flcatIon and clusterIng etc．
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Size: 240640 |
Author: 陈成功 |
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Description: 相似性度量方法是基于内容的图像检索(CBIR)系统研究的一个重要方面,本文对心理学中相似性的分类以及人类相似性判别的基本模型进行了说明,对图像在视觉特征以及语义特征上的相似性度量方式及研究的现状做了较为详尽的综述,并进行了比较说明.-Similarity measurement method is based on an important aspect of image retri (CBIR) System, this paper basic model similarity classification psychology and human similarity determination has been described, in the image on the visual features and semantic features Status similarity metrics and research to do a more detailed review and comparison instructions.
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Size: 173056 |
Author: fangsm |
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Description: 种基于期望最大化( E M) 算法的局部图像特征的语义提取方法。首先提取图像的局部图像特 征， 统计特征在视觉词汇本中的出现频率， 将图像表示成词袋模型； 引入文本分析中的潜在语义分析技术建立从低层图像 特征到高层图像语义之间的映射模型； 然后利用 E M 算法拟合概率模型， 得到图像局部特征的潜在语义概率分布； 最后利 用该模型提取出的图像在潜在语义上的分布来进行图像分析和理解。-Semantic extraction of local image features based on expectation maximization (E M) algorithm. First extract the local features of the image, the visual vocabulary in the frequency of statistical feature, the image into the bag of words model introduce the latent semantic analysis of the text the technology to establish the mapping model between image low-level features to high-level semantic image and then use the E M algorithm for fitting probability model, probabilistic latent semantic distribution of local image features the distribution of the final image by using the model extracted in the latent semantic of image analysis and understanding.
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Size: 8817664 |
Author: 杨雪 |
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Description: 基于隐语义模型的新闻相似度分析，根据一片包含三千多篇的新闻语料库，做新闻相似度分析。-Based on the similarity news hidden semantic analysis of the model, according to a news article that contains more than three thousand corpus, do news similarity analysis.
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Size: 4462592 |
Author: 王振鹏 |
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