基于统计的音乐摘要研究

随着Intemet的发展,大量音乐资源在网络上涌现,对音乐资源进行有效检索标识是很有必要的,而摘要的意义显得尤为重要.音乐摘要是文本摘要研究在音乐检索领域的一个比较新的应用.综合使用统计相关原理和文本挖掘相关研究理念,对音乐资源进行一定研究,为音乐检索提供新的参考.     

CONTOUR: an efficient algorithm for discovering discriminating subsequences

In recent years we have witnessed several applications of frequent sequence mining, such as feature selection for protein sequence classification and mining block correlations in storage systems. In typical applications such as clustering, it is not the complete set but only a subset of discriminating frequent subsequences which is of interest. One approach to discovering the subset of useful frequent subsequences is to apply any existing frequent sequence mining algorithm to find the complete set of frequent subsequences. Then, a subset of interesting subsequences can be further identified. Unfortunately, it is very time consuming to mine the complete set of frequent subsequences for large sequence databases. In this paper, we propose a new algorithm, CONTOUR, which efficiently mines a subset of high-quality subsequences directly in order to cluster the input sequences. We mainly focus on how to design some effective search space pruning methods to accelerate the mining process and discuss how to construct an accurate clustering algorithm based on the result of CONTOUR. We conducted an extensive performance study to evaluate the efficiency and scalability of CONTOUR, and the accuracy of the frequent subsequence-based clustering algorithm.     

Discrete data clustering using finite mixture models

Finite mixture models have been applied for different computer vision, image processing and pattern recognition tasks. The majority of the work done concerning finite mixture models has focused on mixtures for continuous data. However, many applications involve and generate discrete data for which discrete mixtures are better suited. In this paper, we investigate the problem of discrete data modeling using finite mixture models. We propose a novel, well motivated mixture that we call the multinomial generalized Dirichlet mixture. The novel model is compared with other discrete mixtures. We designed experiments involving spatial color image databases modeling and summarization, and text classification to show the robustness, flexibility and merits of our approach.     

Multimedia technologies for structuring and retrieval of TV news

Because of the media digitization, a large amount of information such as speech, audio and video data is produced everyday. In order to retrieve data from these databases quickly and precisely, multimedia technologies for structuring and retrieving of speech, audio and video data are strongly required. In this paper, we overview the multimedia technologies such as structuring and retrieval of speech, audio and video data, speaker indexing, audio summarization and cross media retrieval existing today for TV news detabase. The main purpose of structuring is to produce tables of contents and indices from audio and video data automatically. In order to make these technologies feasible, first, processing units such as words on audio data and shots on video data are extracted. On a second step, they are meaningfully integrated into topics. Furthermore, the units extracted from different types of media are integrated for higher functions. Yasuo Ariki, Ph.D.: He is a Professor in the Department of Electronics and Informatics at the Ryukoku University. He received his B.E., M.E. and Ph.D. in information science from Kyoto University in 1974, 1976 and 1979, respectively. He had been an Assistant in Kyoto University from 1980 to 1990, and stayed at Edinburgh University as visiting academic from 1987 to 1990. His research interests are in speech and image recognition and in information retrieval and database. He is a member of IPSJ, IEICE, ASJ, Soc. Artif. Intel. and IEEE.     

低供热源变压再生脱碳技术在我厂的应用

应用低供热源变压再生脱碳技术 ,首次对以焦炉气和半水煤气为原料的老厂进行改造 ,取得了预期的效果 ,并总结了经验     

国内外干式拉丝润滑剂的使用

综述我国拉丝行业采用国内外拉丝润滑剂的现状，简介热丝润滑机理及高速干式拉拔对润滑剂的性能要求，指出拉丝中与润滑剂有关的问题及其对策。     

地理信息系统在环保领域的应用综述

地理信息系统是一门以计算机为基础的新兴技术，围绕着这项技术的研究、开发和应用，形成了一门交叉性、边缘性学科，其在环保领域的应用将有力地促进环保工作的开展。本文首先简要介绍了GIS技术，而后综合论述了其在环保领域中的应用。     

第三代移动通信智能天线的研究现状及发展趋势分析

本文首先简单地介绍移动通信发展以及第三代移动通信（3G）的技术特征和实现目标，并阐述了如何用多址来解决通信资源紧缺的问题，随后重点讲述智能天线的定义、优点、组成、工作原理、信道模型以及要解决的关键技术问题和发展现状。最后，提出了智能空分多址的概念，并对智能天线未来的发展进行了分析和预测。     

Automatic Image Checkpoint Selection for Guider‐Follower Pedestrian Navigation

In recent years guider‐follower approaches show a promising solution to the challenging problem of last‐mile or indoor pedestrian navigation without micro‐maps or indoor floor plans for path planning. However, the success of such guider‐follower approaches is highly dependent on a set of manually and carefully chosen image or video checkpoints. This selection process is tedious and error‐prone. To address this issue, we first conduct a pilot study to understand how users as guiders select critical checkpoints from a video recorded while walking along a route, leading to a set of criteria for automatic checkpoint selection. By using these criteria, including visibility, stairs and clearness, we then implement this automation process. The key behind our technique is a lightweight, effective algorithm using left‐hand‐side and right‐hand‐side objects for path occlusion detection, which benefits both automatic checkpoint selection and occlusion‐aware path annotation on selected image checkpoints. Our experimental results show that our automatic checkpoint selection method works well in different navigation scenarios. The quality of automatically selected checkpoints is comparable to that of manually selected ones and higher than that of checkpoints by alternative automatic methods.