首页 | 本学科首页   官方微博 | 高级检索  
文章检索
  按 检索   检索词:      
出版年份:   被引次数:   他引次数: 提示:输入*表示无穷大
  收费全文   10204篇
  国内免费   9篇
  完全免费   317篇
  自动化技术   10530篇
  2019年   3篇
  2018年   260篇
  2017年   257篇
  2016年   329篇
  2015年   290篇
  2014年   485篇
  2013年   425篇
  2012年   555篇
  2011年   792篇
  2010年   565篇
  2009年   658篇
  2008年   659篇
  2007年   493篇
  2006年   527篇
  2005年   454篇
  2004年   430篇
  2003年   397篇
  2002年   287篇
  2001年   211篇
  2000年   170篇
  1999年   157篇
  1998年   135篇
  1997年   158篇
  1996年   158篇
  1995年   133篇
  1994年   138篇
  1993年   133篇
  1992年   141篇
  1991年   113篇
  1990年   105篇
  1989年   114篇
  1988年   80篇
  1987年   70篇
  1986年   65篇
  1985年   80篇
  1984年   50篇
  1983年   43篇
  1982年   22篇
  1981年   38篇
  1980年   24篇
  1979年   37篇
  1978年   29篇
  1977年   34篇
  1976年   32篇
  1975年   30篇
  1974年   27篇
  1973年   26篇
  1972年   15篇
  1971年   29篇
  1970年   20篇
  1969年   16篇
  1968年   15篇
  1967年   8篇
  1966年   1篇
  1965年   4篇
  1963年   3篇
排序方式: 共有10530条查询结果,搜索用时 171 毫秒
1.
Distinctive Image Features from Scale-Invariant Keypoints   总被引:224,自引:6,他引:218  
This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene. The features are invariant to image scale and rotation, and are shown to provide robust matching across a substantial range of affine distortion, change in 3D viewpoint, addition of noise, and change in illumination. The features are highly distinctive, in the sense that a single feature can be correctly matched with high probability against a large database of features from many images. This paper also describes an approach to using these features for object recognition. The recognition proceeds by matching individual features to a database of features from known objects using a fast nearest-neighbor algorithm, followed by a Hough transform to identify clusters belonging to a single object, and finally performing verification through least-squares solution for consistent pose parameters. This approach to recognition can robustly identify objects among clutter and occlusion while achieving near real-time performance.  相似文献
2.
Discovering rules for water demand prediction: An enhanced rough-set approach   总被引:48,自引:0,他引:48  
Prediction of consumer demands is a pre-requisite for optimal control of water distribution systems because minimum-cost pumping schedules can be computed if water demands are accurately estimated. This paper presents an enhanced rough-sets method for generating prediction rules from a set of observed data. The proposed method extends upon the standard rough set model by making use of the statistical information inherent in the data to handle incomplete and ambiguous training samples. It also discusses some experimental results from using this method for discovering knowledge on water demand prediction.  相似文献
3.
4.
LEARNING IN RELATIONAL DATABASES: A ROUGH SET APPROACH   总被引:37,自引:0,他引:37  
Knowledge discovery in databases, or dala mining, is an important direction in the development of data and knowledge-based systems. Because of the huge amount of data stored in large numbers of existing databases, and because the amount of data generated in electronic forms is growing rapidly, it is necessary to develop efficient methods to extract knowledge from databases. An attribute-oriented rough set approach has been developed for knowledge discovery in databases. The method integrates machine-learning paradigm, especially learning-from-examples techniques, with rough set techniques. An attribute-oriented concept tree ascension technique is first applied in generalization, which substantially reduces the computational complexity of database learning processes. Then the cause-effect relationship among the attributes in the database is analyzed using rough set techniques, and the unimportant or irrelevant attributes are eliminated. Thus concise and strong rules with little or no redundant information can be learned efficiently. Our study shows that attribute-oriented induction combined with rough set theory provide an efficient and effective mechanism for knowledge discovery in database systems.  相似文献
5.
基于SUMO的概念语义相似度研究   总被引:33,自引:4,他引:29       下载免费PDF全文
SUMO(建议上层共享知识本体)是由IEEE标准上层知识本体工作小组所建置的,其目的是发展标准的上层知识本体,这将促进数据互通性、信息搜寻和检索、自动推理和自然语言处理。基于该共享知识本体,提出了一种计算两概念语义相似度的方法。根据该方法实现了一个计算程序模块,并将计算结果同人类的主观判断进行了比较,验证了该方法的有效性。该研究工作可以在面向Web的知识检索领域中得到应用,还可以为本体的相关研究提供一定的理论基础。  相似文献
6.
7.
8.
Face Recognition Using the Discrete Cosine Transform   总被引:27,自引:0,他引:27  
An accurate and robust face recognition system was developed and tested. This system exploits the feature extraction capabilities of the discrete cosine transform (DCT) and invokes certain normalization techniques that increase its robustness to variations in facial geometry and illumination. The method was tested on a variety of available face databases, including one collected at McGill University. The system was shown to perform very well when compared to other approaches.  相似文献
9.
An Introduction to MCMC for Machine Learning   总被引:27,自引:0,他引:27  
This purpose of this introductory paper is threefold. First, it introduces the Monte Carlo method with emphasis on probabilistic machine learning. Second, it reviews the main building blocks of modern Markov chain Monte Carlo simulation, thereby providing and introduction to the remaining papers of this special issue. Lastly, it discusses new interesting research horizons.  相似文献
10.
粗糙集理论与应用研究综述   总被引:26,自引:0,他引:26  
在阐释粗糙集理论基本体系结构的基础上,从多个角度探讨粗糙集模型的研究思路,分析粗糙集理论与模糊集、证据理论、粒计算、形式概念分析、知识空间等其它理论之间的联系,介绍国内外关于粗糙集理论研究的主要方向和发展状况,讨论当前粗糙集理论研究的热点研究领域以及将来需要重点研究的主要问题.  相似文献
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号