Description: Inside the C++ Object Model focuses on the underlying mechanisms that support object-oriented programming within C++: constructor semantics, temporary generation, support for encapsulation, inheritance, and "the virtuals"-virtual functions and virtual inheritance. This book shows how your understanding the underlying implementation models can help you code more efficiently and with greater confidence. Lippman dispells the misinformation and myths about the overhead and complexity associated with C++, while pointing out areas in which costs and trade offs, sometimes hidden, do exist. He then explains how the various implementation models arose, points out areas in which they are likely to evolve, and why they are what they are. He covers the semantic implications of the C++ object model and how that model affects your programs. Highlights Explores the program behavior implicit in the C++ Object Model's support of object-oriented programming. Explains the basic implementation of the object-oriented features and the trade offs implicit in those features. Examines the impact on performance in terms of program transformation. Provides abundant program examples, diagrams, and performance measurements to relate object-oriented concepts to the underlying object model. If you are a C++ programmer who desires a fuller understanding of what is going on "under the hood," then Inside the C++ Object Model is for you! Platform: |
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Author:mattzhu |
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Description: 基于纹理语义特征的图像检索研究.很详细.在其他网站找不到-Semantic features based on texture image retrieval research. In great detail. Can not find in other sites Platform: |
Size: 691200 |
Author:sss |
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Description: marsyas是进行音频分析的源码，可以识别音乐节奏、乐器等音乐语义特征，使用隐马尔可夫模型。-marsyas is a source of audio analysis to identify the music rhythm, semantic features music and musical instruments, the use of Hidden Markov Model. Platform: |
Size: 877568 |
Author:成风 |
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Description: Spring框架入门文档，对Spring框架的基础语义，高级特性和持久层技术，AOP编程有详细介绍-Spring Framework entry documents, on the basis of semantic Spring framework, advanced features and durable layer technology, AOP programming has a detailed introduction Platform: |
Size: 1072128 |
Author:wanna001 |
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Description: 本文提出了一种在获取图像低层视觉特征的基础上，利用语义网络对
图像进行语义自动分类，并在此基础上引入相关反馈技术，使图像的低级
物理特征和高级语义特征联系起来的算法，通过人一机协同工作，来弥补
计算机理解能力的不足，不断提高检索效果。
-In this paper, a low-level access to images based on visual characteristics, the use of semantic networks semantic image automatic classification, and on this basis the introduction of relevance feedback techniques, so that low-level image features and physical characteristics of high-level semantic link algorithm, through a machine to work together to make up for the lack of computer ability, continuously improve the search results. Platform: |
Size: 5269504 |
Author:张慧云 |
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Description: 这是关于语义图像检索进展的一片论文，很好的综述性文章，希望研究图像语义的朋友一起学习- Semantic image retrieval has been a crux to bridge“semantic gap”between the simple
visual features and the abundant semantics delivered by an image. The state of the art of semantic
image retrieval is given from three aspects: schemes of image semantic description, approaches to
image semantic processing, and design for image retrieval system
Platform: |
Size: 100352 |
Author:张三风 |
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Description: Extending beyond the boundaries of science, art, and culture, content-based multimedia information retrieval provides new paradigms and methods for searching through the myriad variety of media all over the world. This survey reviews 100&plus recent articles on content-based multimedia information retrieval and discusses their role in current research directions which include browsing and search paradigms, user studies, affective computing, learning, semantic queries, new features and media types, high performance indexing, and evaluation techniques. Based on the current state of the art, we discuss the major challenges for the future.-Extending beyond the boundaries of science, art, and culture, content-based multimedia information retrieval provides new paradigms and methods for searching through the myriad variety of media all over the world. This survey reviews 100&plus recent articles on content-based multimedia information retrieval and discusses their role in current research directions which include browsing and search paradigms, user studies, affective computing, learning, semantic queries, new features and media types, high performance indexing, and evaluation techniques. Based on the current state of the art, we discuss the major challenges for the future. Platform: |
Size: 196608 |
Author:武玉阳 |
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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. Platform: |
Size: 497664 |
Author:shpark |
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Description: 就如何从视频序列中分割出具有语义意义的运动对象 ,本文提出了一种自动的基于背景的运动对象分割算法 ,利用颜色、形状和灰度等特征对第一帧图像进行初步分割 ,然后根据帧间运动信息构造背景图像 ,最后以背景图像和帧差图像作为参考图像 ,对同一场景中的所有视频帧进行快速可靠的分割 。-On how to split out from the video sequences of moving objects with semantic meaning, this paper presents a context-based automatic segmentation of moving objects, using color, shape and gray-scale image features such as the initial frame of the first split, then inter-frame motion information structure background image, background image and finally the frame difference image as a reference image of the same scene in all the video frames for fast and reliable segmentation. Platform: |
Size: 592896 |
Author:charles |
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Description: 该论文在知网上付费下载，为2011年9月最新的关于Bag of Wo rds 算法的框架和基本内容，是学习bag of words算法的很好的入门参考。Bag of Words 算法是一种有效的基于语义特征提取与表达的物体识别算法, 算法充分学习文本检索算法的优点, 将图片整理为一系列视觉词汇的集合, 提取物体的语义特征, 实现感兴趣物体的有效检测与识别。-Bag of Word algo rithm is an efficient object r eco gnition alg or ithm based o n semantic features ex traction and
ex pression. It learns the v irt ues o f the text based sear ch alg or ithm to make imag es a r ang o f v isua l w o rds, ex tract the seman
t ic char acter s and carr y out the detectio n and recog nit ion o f inter est ing objects. This paper mainly discusses the frame and
basic content of Bag of Wor ds algo rithm. Platform: |
Size: 310272 |
Author:Jessicaying |
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Description: Bag of Wo rds 算法是一种有效的基于语义特征提取与表达的物体识别算法, 算法充分学习文本检索算法的优
点, 将图片整理为一系列视觉词汇的集合, 提取物体的语义特征, 实现感兴趣物体的有效检测与识别。文章主要研究了Bag
of Wo rds 算法的框架和基本内容。-Bag of Wo in rds algorithm is an effective semantic features extracted and the expression of object recognition algorithm, the algorithm is fully learn the advantages of text retrieval algorithms
Points, pictures, order the collection of a series of visual vocabulary, extract the semantic features of objects to achieve the effective detection and identification of objects of interest. The article is mainly a Bag
framework and basic contents of the Wo in rds algorithm.
Platform: |
Size: 301056 |
Author:张 |
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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 Platform: |
Size: 20480 |
Author:honddo |
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Description: marsyas是进行音频分析的源码，能识别音乐节奏、乐器等音音乐语义特征，使用隐马尔可夫模型。
-marsyas audio analysis of the source code, and can identify the rhythm of the music, musical instruments and other audio and music semantic features using Hidden Markov Models. Platform: |
Size: 882688 |
Author:sc |
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Description: In this research two automatic video annotation techniques are considered. The first technique uses ontology to reduce the semantic gap during video retrieval and other performs a group based image retrieval using video files. The proposed algorithm uses GIR algorithm to create similar image group. From this refined set of images, SIFT features are extracted and the steps used by ASVA algorithm is performed to annotate the video in a semantic fashion. The Automatic Semantic based Video Annotation algorithm performs annotation in three steps. The first step calculates the video similarity using SIFT features, sentence and synonym analysis is performed in the second to find similar meaning annotations and finally the conjunction of the sentences are analyzed to increase the certainty of each annotation using Concept Net. Platform: |
Size: 697344 |
Author:Ambika |
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Description: 基于纹理语义特征的图像检索研究。关于图形图像检测的一篇论文。比较新，适合研究生读-Image retrieval based on texture semantic features. Detection of a graphic image on the paper. Relatively new for students to read Platform: |
Size: 691200 |
Author:胡同学 |
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Description: Semantic UI—完全语义化的前端界面开发框架，跟 Bootstrap 和 Foundation 比起来，还是有些不同的，在功能特性上、布局设计上、用户体验上均存在很多差异。
Semantic UI 特点：
文档和演示非常完善
易于学习和使用
配备网格布局
支持 Sass 和 LESS 动态样式语言
有一些非常实用的附加配置，例如inverted类。
对于社区贡献来说是比较开放的。
有一个非常好的按钮实现，情态动词，和进度条。
在许多功能上使用图标字体。
Semantic UI 对浏览器的支持：
Last 2 Versions FF, Chrome, IE (aka 10+)
Safari 6
IE 9+ (Browser prefix only)
Android 4
Blackberry 10-UI Semantic- fully semantic interface development framework, with Bootstrap and Foundation than, or some different, in the functional characteristics, layout design, user experience, there are many differences.
UI Semantic features:
Documentation and presentation are perfect
Easy to learn and use
Equipped with grid layout
Supports Sass and LESS dynamic style language
There are some very practical additional configurations, such as the inverted class.
For community contributions to the more open.
There is a very good button to achieve, modal verbs, and progress bar.
Icon fonts used in many functions.
UI Semantic support for the browser:
Last 2 FF Chrome, Versions, IE (10+ aka)
Safari 6
9+ IE (prefix only Browser)
Android 4
Blackberry 10 Platform: |
Size: 2738176 |
Author:zzpudn17 |
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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. Platform: |
Size: 173056 |
Author:fangsm |
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Description: Semantic UI—完全语义化的前端界面开发框架，跟 Bootstrap 和 Foundation 比起来，还是有些不同的，在功能特性上、布局设计上、用户体验上均存在很多差异。
Semantic UI 特点：
文档和演示非常完善
易于学习和使用
配备网格布局
支持 Sass 和 LESS 动态样式语言
有一些非常实用的附加配置，例如inverted类。
对于社区贡献来说是比较开放的。
有一个非常好的按钮实现，情态动词，和进度条。
在许多功能上使用图标字体。-The front-end interface development framework Semantic UI complete semantic, with Bootstrap and Foundation than it is somewhat different, in the user design layout features, there are many differences in experience.
Semantic UI features:
Documentation and presentation is perfect
Easy to learn and use
Grid layout
Support Sass and LESS dynamic style language
There are some very useful additional configurations, such as the inverted class.
For community contribution is more open.
There is a very good button implementation, modal verbs, and progress bars.
Use icon fonts for many functions. Platform: |
Size: 3729408 |
Author:陈麒宇 |
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Description: 随着现代社会的发展，信息的形式和数量正在迅猛增长。其中很大一部分是图像，图像可以把事物生动地呈现在我们面前，让我们更直观地接受信息。同时，计算机已经作为一种人们普遍使用的工具为人们的生产生活服务。从图像中提取文字属于信息智能化处理的前沿课题，是当前人工智能与模式识别领域中的研究热点。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。又由于静态图像文字提取是动态图像文字提取的基础，故着重介绍了静态图像文字提取技术。(With the development of modern society, the form and quantity of information are growing rapidly. Which is a large part of the image, the image can be vividly presented in front of us, let us more intuitive to accept the information. At the same time, the computer has served as a popular tool for people's production and life services. Extracting the text from the image belongs to the forefront of information intelligent processing, which is the research hotspot in the field of artificial intelligence and pattern recognition. Because the text has high semantic features, it has important effect on the understanding, index and retrieval of picture content. Therefore, it is of great practical significance to study the extraction of picture text. And because the static image text extraction is the basis of dynamic image extraction, it emphasizes the static image text extraction technology.) Platform: |
Size: 211968 |
Author:lj557
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Search - semantic features