基于颜色空间分布特征的图像检索

目前,基于颜色特征的图像检索大多是以图像的颜色直方图作为颜色特征,这种图像检索方法有简单高效的优点,但丢失了颜色的空间分布信息,该文从CT图像重建的理论中得到启发,将对一幅图像从几个方向的投影图作为这幅图像的颜色特征分布。为进一步减少检索时运算的数据量,对图像做小波分解,然后对分解后图像的低频子带做Radon变换得到颜色空间分布的特征向量,并根据这个特征进行检索,实验表明,当检索图像中有明显的颜色目标时,该方法比传统的颜色直方图法更精确,颜色空间性更强,而且检索用时更短。     

基于领域本体的文本分类方法

基于本体的文本分类方法未考虑本体概念自身所含有的信息量及忽略本体推理功能。为此,以旅游领域为背景,提出一种基于领域本体的文本分类方法。该方法采用本体自身结构作为分类标准,通过计算特征项和本体概念间的语义关联度及结合本体的推理功能,将文本划分到合适的本体概念下作为概念的实例。实验结果证明,与传统方法相比,该方法的分类方法F1值至少提高8.7%。     

基于图的混合推荐算法*

混合推荐是解决各种单一推荐方法缺陷的重要途径,文中提出基于图的混合推荐算法,通过在图中融合各种推荐因素进行建模,产生最终的推荐结果.利用推荐物品的内容属性计算物品间的相似度,构建最近邻图关联矩阵.根据物品的打分记录构建物品的兴趣模型,生成矢量函数.在此基础上,利用正则化框架组合关联矩阵和矢量函数,构建基于图的学习模型,实现基于图的混合推荐,并从理论上证明算法的收敛性.在MovieLens数据集和亚马逊网上商城交易数据上的对比实验验证文中算法的有效性.     

A contingency model for the allocation of media content in publishing companies

Today, articles and papers can be published in many different media and the allocation of content by publishing firms is vital for their operational efficiency, time-to-market, and customer retention. Past studies in MIS research have focused on the allocation of other objects than content, e.g., data or hardware, with different distribution and integration requirements. Such studies have ignored the allocation of media content. We developed and tested a structural model of media content allocation behavior of publishing companies. Drawing on contingency theory, we hypothesized that organizational structure (centralization, formalization, and specialization), size, distribution of IT decision-making, and information processing requirements influenced the degree of content distribution and integration. The model was tested using data from a survey of 115 companies in the book, newspaper, and magazine publishing industries. While content distribution was primarily contingent upon organizational formalization, organizational specialization, IT decision-making, and information processing requirements, only organizational standardization and information processing requirements were found to be significant in affecting the way that publishing companies carried out content integration.     

网络信息分级过滤系统的研究与实现

通过对网络信息内容进行分析并对信息进行过滤,能够保证信息的安全性。在关键字过滤和IP过滤基础上,采用双向最大匹配和基于内容分析的K-最邻近文本分类算法相结合进行内容过滤,以达到信息系统过滤信息的质量和速度的效果。以准确率和查全率为标准,对本方案进行测定和评估,评估结果表明,本方案的过滤效果比较理想。     

Content information desired by Chinese users for effective use of information appliances

Many studies have been conducted to determine how to present information on mobile phones in such a way as to enhance usability, but those studies have not considered what information users need for effective decision making. To investigate what users want from mobile phones, we carried out a content preparation study. A questionnaire was constructed based on prior results from website content research, traditional usability studies on consumer electronics, and extensive study on various types of mobile phones; it was completed by 375 Chinese industrial participants. The statistical results revealed nine major factors of mobile phone content: information relating to input/search, functions, operation, multimedia functions, stored files, phone calls, help/service, accessory functions, and messages. Also, users of different ages and genders evidenced different requirements for mobile phone content, especially concerning accessory and multimedia functions. This study suggests guidelines for mobile phone designers targeted at the Chinese market and provides a base for content study of other information appliances.     

基于内容的图象检索技术的研究和发展

多媒体技术和数字图书馆的发展和应用,使基于图象内容的检索技术,成为图象处理和计算机视觉的前沿问题。图象数据库检索查询的研究目的就是实现自动地、智能化地检索和管理图象。文章详细介绍了该技术的研究状况和具体应用,并探讨了其发展前景。     

非集中式P2P系统中资源搜索与现存问题分析

对非集中式P2P系统,分布式哈希表和洪泛方法均可被用于资源搜索。结合了这两类方法的混合P2P搜索模式被期望有更好的性能,但需要找到准确判断资源知名度的有效方法。而在动态的P2P网络环境中,现有的混合搜索算法仍面临着搜索效率与质量有待优化的问题,该文在分析现有问题的基础上提出了一种解决思路。     

基于TCAM报文分类的范围编码方案

针对现有范围编码方案三态内容寻址存储器(TCAM)利用率不高及更新性能差问题,提出一种混合范围编码方案(Hybrid-RES),根据扩展系数和出现频率,采用纵向或横向扩展编码策略对范围字段进行编码。纵向扩展编码策略利用格雷码的对称映射特征设计一种格雷范围编码算法,对纵向扩展出TCAM表项数目较多的范围字段采用横向扩展编码策略。理论分析和实验结果表明,Hybrid-RES可以较大地提高TCAM利用率,同时获得较好的更新性能。