基于KNN的图像自动分类模型研究

所谓图像自动分类是指利用图像自动分类器把待分类的图像分配到预定义的图像类的过程。用于图像自动分类的方法有多种。其中K近邻算法是一种基于实例学习的方法,是一种较理想的自动分类器。本文在它的基础上提出了图像自动分类模型,整个图像自动分类过程包括图像预处理、特征表示、机器学习和图像分类4个步骤。表1。图1。参考文献13。     

用户需求嵌接、流程驱动、情景敏感型9-9网络参考咨询服务——中国科学院国家科学图书馆网络参考咨询服务新进展

全面介绍中国科学院国家科学图书馆在"读者至上、需求为本"的新型服务理念下,在国内外图书馆界首次开展9-9的实时咨询服务,采用页面共览、嵌接和情景敏感等先进技术,增强解答直观性,将咨询服务全程地嵌入用户环境和流程之中.通过网络化服务组织与个性化服务相结合,实现向不同IP的读者推荐相应的学科馆员或本地咨询馆员.全面开展服务流程自动化管理和服务质量控制及其规范管理,更有效地提高服务质量和效率.     

A pipelined architecture for distributed text query evaluation

Two principal query-evaluation methodologies have been described for cluster-based implementation of distributed information retrieval systems: document partitioning and term partitioning. In a document-partitioned system, each of the processors hosts a subset of the documents in the collection, and executes every query against its local sub-collection. In a term-partitioned system, each of the processors hosts a subset of the inverted lists that make up the index of the collection, and serves them to a central machine as they are required for query evaluation. In this paper we introduce a pipelined query-evaluation methodology, based on a term-partitioned index, in which partially evaluated queries are passed amongst the set of processors that host the query terms. This arrangement retains the disk read benefits of term partitioning, but more effectively shares the computational load. We compare the three methodologies experimentally, and show that term distribution is inefficient and scales poorly. The new pipelined approach offers efficient memory utilization and efficient use of disk accesses, but suffers from problems with load balancing between nodes. Until these problems are resolved, document partitioning remains the preferred method. Alistair Moffat was supported by the Australian Research Council, the ARC Special Research Center for Perceptive and Intelligent Machines in Complex Environments, and the NICTA Victoria Laboratory. William Webber and Justin Zobel were supported by the Australian Research Council. Ricardo Baeza-Yates was supported by Grant P01-029-F from Millennium Initiative of Mideplan, Chile; and by the University of Melbourne as a visiting scholar at the time this project was undertaken.     

India: Demographics for Publishers

The essential demographic data and related information for India is provided specifically for the publishing industry. The focus has been placed on the economics, education and computer industry in relation to the complex cultural factors of different languages and religions. The role of India in relation to the other three BRIC countries or Brazil, China and Russia is explored.     

论中国电视真人秀节目的文化自觉

本文运用了费孝通先生的文化自觉理论,分析了中国电视真人秀节目存在的问题,并提出了解决这一问题的对策建议.     

Searching strategies for the Bulgarian language

This paper reports on the underlying IR problems encountered when indexing and searching with the Bulgarian language. For this language we propose a general light stemmer and demonstrate that it can be quite effective, producing significantly better MAP (around + 34%) than an approach not applying stemming. We implement the GL2 model derived from the Divergence from Randomness paradigm and find its retrieval effectiveness better than other probabilistic, vector-space and language models. The resulting MAP is found to be about 50% better than the classical tf idf approach. Moreover, increasing the query size enhances the MAP by around 10% (from T to TD). In order to compare the retrieval effectiveness of our suggested stopword list and the light stemmer developed for the Bulgarian language, we conduct a set of experiments on another stopword list and also a more complex and aggressive stemmer. Results tend to indicate that there is no statistically significant difference between these variants and our suggested approach. This paper evaluates other indexing strategies such as 4-gram indexing and indexing based on the automatic decompounding of compound words. Finally, we analyze certain queries to discover why we obtained poor results, when indexing Bulgarian documents using the suggested word-based approach.     

张扬媒体优势打造活动品牌

在市场化的媒体竞争格局下，经营媒体正如经营企业一样，必须拥有自己的核心竞争力。广播电视媒体节目虽然内容品质至关重要，但也离不开活动特别是那些已经形成了自己固定品牌的活动。