检索结果-内蒙古大学图书馆

3rd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2012

作者： Wei, Wei Liang, Jiye Qian, Yuhua Wang, Junhong Key Lab. of Computational Intelligence and Chinese Information Processing of Ministry of Education School of Computer and Information Technology Shanxi University Taiyuan Shanxi 030006 China

ISBN: (纸本)9783642366680

In this paper, we devote to present a fuzziness-preserving attribute reduction in fuzzy rough set framework. Through constructing the membership function of an object, we first introduce a fuzzy measure to assess the fuzziness of a fuzzy rough set and a fuzzy rough decision, which underlies a foundation for attribute reduction algorithm. Then, we derive an attribute significance measure based on the proposed fuzzy measure and design a forward greedy algorithm (ARBF) for attribute reduction from hybrid. Numerical experiments show the validity of the proposed algorithm from search strategy and heuristic function in the meaning of fuzziness-preserving. © Springer-Verlag 2013.

关键词： Membership functions

来源：评论

学校读者我要写书评

暂无评论

The scientific literature corpus for Chinese negation and uncertainty identification

The scientific literature corpus for Chinese negation and un...

引用

14th Workshop on Chinese Lexical Semantics, CLSW 2013

作者： Chen, Zhancheng Zou, Bowei Zhu, Qiaoming Li, Peifeng School of Computer Science and Technology Soochow University Jiangsu 215006 China Key Lab. of Computer Information Processing Technology of Jiangsu Province Suzhou Jiangsu 215006 China

ISBN: (纸本)9783642451843

Negative and uncertain expressions widely exist in natural language. Negation and uncertainty identification has become an important task in computational linguistics community. Lacking of corpus hinders the development of Chinese negation and uncertainty identification. This paper reports on a corpus annotation project for Chinese negation and uncertainty identification on scientific literature. We introduce several important aspects during our annotation, such as selection of raw text, framework of annotation, guidelines, data consistency and statistic data summarized from corpus. In this corpus, we annotate negation and uncertainty cues and their corresponding scopes. Statistic for corpus shows that there are a certain proportion of negative and uncertain expressions in Chinese scientific literature. Accordingly, this corpus is able to support the research of Chinese negation and uncertainty identification in the future. © 2013 Springer-Verlag.

关键词： Computational linguistics

来源：评论

学校读者我要写书评

暂无评论

Chinese zero anaphor detection: Rule-based approach

Chinese zero anaphor detection: Rule-based approach

引用

作者： Qin, Kaiwei Kong, Fang Li, Peifeng Zhu, Qiaoming School of Computer Science and Technology Soochow University Jiangsu 215006 China Key Lab. of Computer Information Processing Technology of Jiangsu Province Suzhou Jiangsu 215006 China

ISBN: (纸本)9783642256608

A rule-based approach for Chinese zero anaphor detection is proposed. Given a parse tree, the smallest IP sub-tree covering the current predicate is captured. Based on this IP sub-tree, some rules are proposed for detecting whether a Chinese zero anaphor exists. This paper also systematically evaluates the rule-based method on OntoNotes corpus. Using golden parse tree, our method achieves 82.45 in F-measure. And the F-measure is 63.84 using automatic parser. The experiment results show that our method is very effective on Chinese zero anaphor detection. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Forestry

来源：评论

学校读者我要写书评

暂无评论

Incomplete intuitionistic fuzzy behavioral group decision-making based on multigranulation probabilistic rough sets and MULTIMOORA for water quality inspection

引用

Journal of Intelligent and Fuzzy Systems 2023年第3期44卷 4537-4556页

作者： Bai, Wenhui Zhang, Chao Zhai, Yanhui Sangaiah, Arun Kumar School of Computer and Information Technology Key Lab. of Computational Intelligence and Chinese Information Processing of Ministry of Education Shanxi University Shanxi Taiyuan China International Graduate Institute of Artificial Intelligence National Yunlin University of Science and Technology Taiwan Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon

Water quality inspection (WQI) is one of the primary ways to ensure the safe utilization of water resources, and complicated data modeling, fusion and analysis play a significant role in seeking the resource with the best water quality. Nevertheless, the challenges of missing data, relatively large differences in decision results and bounded rationality owned by decision-makers (DMs) in terms of WQI still exist nowadays. Thus, from the aspect of stable and behavioral decision-making in multi-granularity incomplete intuitionistic fuzzy information systems (MG-IIFISs), the paper investigates a comprehensive multi-attribute group decision-making (MAGDM) approach for the application of WQI. First, the concept of MG-IIFISs is built by modeling MAGDM problems with intuitionistic fuzzy numbers (IFNs), then a new transformation scheme is constructed for transforming MG-IIFISs into multi-granularity intuitionistic fuzzy information systems (MG-IFISs) based on the similarity principle. Second, three types of multigranulation intuitionistic fuzzy probabilistic rough sets (MG IF PRSs) are developed by referring to the MULTIMOORA (Multi-Objective Optimization by Ratio Analysis plus the full MULTIplicative form) method. Afterwards, attribute weights are objectively calculated based on the best-worst method (BWM), and a new stable and behavioral MAGDM approach is constructed by means of the TODIM (an acronym in Portuguese for interactive multi-criteria decision-making) method. At last, a case study in the setting of WQI is conducted with the support of a UCI data set, and sensitivity analysis, comparative analysis and experimental analysis are investigated to display the validity of the proposed approach. In general, the proposed approach improves the stability of decision results via MULTIMOORA and BWM, and also fully considers the bounded rationality of DMs' psychological behaviors from the aspect of the TODIM method, which has certain advantages in the community of MAGDM studie

关键词： Water quality

来源：评论

学校读者我要写书评

暂无评论

A fault-tolerant multicast tree approach based on the family hierarchy tunnel

A fault-tolerant multicast tree approach based on the family...

引用

16th International Conference on Mechatronics technology, ICMT 2012

作者： Zhou, Yan-Ling Shen, Yu-Feng Key Lab. of Network and Intelligent Information Processing Department of Computer Science and Technology University Hefei Anhui China Computer Science and Technology Anhui Sanlian University Hefei Anhui China

ISBN: (纸本)9787900769428

Fault-tolerant recovery in Multicast communication is an important issue. An ideal multicast fault-tolerant approach can save network resources, reduce the delay and cost, realize quick recovery. In this paper, we propose a new multicast fault-tolerant approach-FH-TFTM based on proposed multicast fault-tolerant algorithms. It can go over problems faced in traditional approaches, for example node failure, unpredictable problems, time delay, network cost and loop avoidance. FH-TFTM can reduce consuming network resources, and carry out effectively setting up backup paths.

关键词： Recovery

来源：评论

学校读者我要写书评

暂无评论

Content-based image retrieval using fuzzy hamming distance

Content-based image retrieval using fuzzy hamming distance

引用

2007 8th International Conference on Electronic Measurement and Instruments, ICEMI

作者： Hu, Xuelong Yang, Li Zhang, Gensheng School of Information Engineering Yangzhou University Yangzhou 225009 China Jiangsu Province Key Lab. for Image Processing and Communication Nanjing University of Post and Telecommunications Nanjing 215006 China Jiangsu Province Key Lab. for Computer Information Processing Technology Suzhou University Suzhou 215006 China

ISBN: (纸本)1424411351

This paper addresses an effective issue of content-based image retrieval (CBIR) by presenting Fuzzy Hamming Distance (FHD). Firstly, the theory of FHD is introduced, which includes degree of difference and cardinality of the fuzzy set, and then follows defuzzification of FHD which is used as a fuzzy similarity measure. In the experiment, the image retrieval results show this method can be employed to capture implicitly some semantic contents of the image in addition to other features such as color, texture and shape. Finally, an implemented prototype system demonstrates a promising retrieval performance for a test database, as compared with FUZZYCLUB system. © 2007 IEEE.

关键词： Hamming distance

来源：评论

学校读者我要写书评

暂无评论

A new method for semi-automatic image annotation

A new method for semi-automatic image annotation

引用

2007 8th International Conference on Electronic Measurement and Instruments, ICEMI

作者： Xuelong, Hu Yuhui, Zhang Li, Yang School of Information Engineering Yangzhou University Yangzhou 225009 China Jiangsu Province Key Lab. of Image Processing and Communication Nanjing University of Post and Telecommunications Nanjing 215006 China Jiangsu Province Key Lab. of Computer Information Processing Technology Suzhou University Suzhou 215006 China

ISBN: (纸本)1424411351

Semantic-based image retrieval bridges the gap between visual features and human understanding of image in the field of image retrieval. Image annotation is one important technology of image retrieval based on the semantic. This paper proposed one method to realize semi-automatic image annotation with the tool Support Vector Machine (SVM). The image collection was divided into two parts, one for manual annotation and the other for testing. After being classified by SVM, the output was changed into a probability, and K-NN algorithm was applied to get the keywords for unlab.led images. The experiments show that the approach is feasible. © 2007 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Effective camera motion analysis approach

Effective camera motion analysis approach

引用

2010 International Conference on Networking, Sensing and Control, ICNSC 2010

作者： Ma, Shugao Wang, Weiqiang Graduate University of Chinese Academy of Sciences Beijing China Key Lab. of Intelligent Information Processing Institute of Computer Technology Chinese Academy of Sciences China

ISBN: (纸本)9781424464531

Camera motion analysis (CMA) is very useful for many video content analysis tasks, but few works competently handle the videos with significant camera or object motion. In this paper, we present an effective CMA approach for such challenging cases. The effectiveness of our approach comes from two aspects: (1) reliably matching keypoints on consecutively sampled frames, where both the appearance similarity and motion smoothness of keypoints are considered;(2) effectively distinguishing background keypoints from foreground ones by a novel and advanced voting process, where the voting weights of keypoints are dynamically adjusted to guarantee that the influence of foreground motion can be largely reduced in CMA. Thus, a parametric camera motion model can be naturally derived by the accurate estimation of the motion of background keypoints. The experimental results on the TRECV2005 dataset and 500 shots from seven classic action movies demonstrate the effectiveness of our approach. ©2010 IEEE.

关键词： Motion analysis

来源：评论

学校读者我要写书评

暂无评论

EFFICIENT ONLINE lab.L CONSISTENT HASHING FOR LARGE-SCALE CROSS-MODAL RETRIEVAL

EFFICIENT ONLINE LABEL CONSISTENT HASHING FOR LARGE-SCALE CR...

引用

2021 IEEE International Conference on Multimedia and Expo, ICME 2021

作者： Yi, Jinhan Liu, Xin Cheung, Yiu-Ming Xu, Xing Fan, Wentao He, Yi Department of Computer Science and Technology Huaqiao University Xiamen361021 China Xiamen Key Lab. of Computer Vision and Pattern Recognition Fujian Key Lab. of Big Data Intelligence and Security China Department of Computer Science Hong Kong Baptist University Kowloon Hong Kong School of Computer Science and Engineering University of Electronic Science and Technology of China China Provincial Key Laboratory for Computer Information Processing Technology Soochow University China

ISBN: (纸本)9781665438643

Existing cross-modal hashing still faces three challenges: (1) Most batch-based methods are unsuitable for processing large-scale and streaming data. (2) Current online methods often suffer from insufficient semantic association, while lacking flexibility to learn the hash functions for varying streaming data. (3) Existing supervised methods always require much computation time or accumulate large quantization loss to learn hash codes. To address above challenges, we present an efficient Online lab.l Consistent Hashing (OLCH) for cross-modal retrieval, which aims to incrementally learn hash codes for the current arriving data, while updating the hash functions at a streaming manner. To be specific, an online semantic representation learning framework is designed to adaptively preserve the semantic similarity across different modalities, and a mini-batch online gradient descent approach associated with forward-backward splitting is developed to optimize the hash functions. Accordingly, the hash codes are adaptively learned online with the high discriminative capability, while avoiding high computation complexity to process the streaming data. Experimental results show its outstanding performance in comparison with the-state-of-arts. © 2021 IEEE computer Society. All rights reserved.

关键词： Hash functions

来源：评论

学校读者我要写书评

暂无评论

Effective clustering of microRNA sequences by N-grams and feature weighting

Effective clustering of microRNA sequences by N-grams and fe...

引用

2012 IEEE 6th International Conference on Systems Biology, ISB 2012

作者： Yi, Yuan Guan, Jihong Zhou, Shuigeng Department of Computer Science and Technology Tongji University Shanghai 201804 China Shanghai Key Lab. of Intelligent Information Processing School of Computer Science Fudan University Shanghai 200433 China

ISBN: (纸本)9781467343985

MicroRNA (miRNA in short) is a kind of small RNAs that acts as an important post-transcriptional regulator with the Argonaute family of proteins to regulate target mRNAs in animals and plants etc. Since its first recognition as a distinct class of small RNA molecules in the early 1990s, tens of thousands of miRNAs have been identified experimentally or computationally. Currently, the focus of miRNAs study is on single-miRNA functions that usually result in gene silencing and repression. With the rapid increase of miRNAs, biologists have manually organized these miRNAs into biologically meaningful families to facilitate further study. As the members in the same family tend to share similar biochemical functions, a high quality family organization will shed lights on the functions of unknown miRNAs. However, manually grouping large amounts of miRNAs is not only time-consuming but also expensive. In this paper, we employ a clustering method with N-grams and feature weighting to automatically group miRNAs into separate clusters (families). Our method is evaluated with datasets constructed from the online miRNA database miRBase. Experimental results show that the clustering method can successfully distinguishes most miRNA families, and outperforms the traditional K-means clustering algorithm and the average-link clustering approach. © 2012 IEEE.

关键词： Cluster analysis

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：