检索结果-内蒙古大学图书馆

Asia-Pacific Signal and information processing Association Annual Summit and Conference

作者： Shan Yang Zhizheng Wu Lei Xie Shaanxi Provincial Key Lab of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xi'an China The Centre for Speech Technology Research University of Edinburgh UK

ISBN: (纸本)9781509024018

Adaptability and controllability are the major advantages of statistical parametric speech synthesis (SPSS) over unit-selection synthesis. Recently, deep neural networks (DNNs) have significantly improved the performance of SPSS. However, current studies are mainly focusing on the training of speaker-dependent DNNs, which generally requires a significant amount of data from a single speaker. In this work, we perform a systematic analysis of the training of multi-speaker average voice model (AVM), which is the foundation of adaptability and controllability of a DNN-based speech synthesis system. Specifically, we employ the i-vector framework to factorise the speaker specific information, which allows a variety of speakers to share all the hidden layers. And the speaker identity vector is augmented with linguistic features in the DNN input. We systematically analyse the impact of the implementations of ivectors and speaker normalisation.

关键词： Training DNN-based Average Voice Model Speech Synthesis

来源：评论

学校读者我要写书评

暂无评论

Intrusion detection based on fuzzy reasoning

Intrusion detection based on fuzzy reasoning

引用

26th Chinese Control Conference, CCC 2007

作者： Fei, Yu Yue, Shen Guiping, Liao Linfeng, Zhang Cheng, Xu School of Computer Andinformation Engineering Hunan Agricultural University Changsha 410128 China Guangdong Province Key Lab. of Electronic Commerce Market Application Technology Guangdong University of Business Studies Guangzhou 510320 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou 2150063 China

ISBN: (纸本)7900719229

The paper proposes a new network intrusion detection system based on fuzzy neural network by redesigning the intrusion detection system's architecture and arithmetic. In order to overcome the difficulty of specifying the membership function of rules depending on experiences of experts in multi-dimension space.,neural network is introduced to distinguish non-linearly input/output characteristics of complex system and to generate rule sets and membership functions automatically. The new architecture adopts the network processor to collect and analyse the data in the low layer of network.,and to establish a prototype system. This system demonstrated in this experiment appears to be better intrusion detection ability, moreover, which is able to detect unknown attack and plays down false alarms.

关键词： Fuzzy neural networks

来源：评论

学校读者我要写书评

暂无评论

3D FACE REPRESENTATION AND RECOGNITION BY INTRINSIC SHAPE DESCRIPTION MAPS

3D FACE REPRESENTATION AND RECOGNITION BY INTRINSIC SHAPE DE...

引用

IEEE International Conference on Acoustics, Speech, and Signal processing

作者： Zhe Guo Yanning Zhang Yong Xia Zenggang Lin Dagan Feng Shaanxi Provincial Key Lab of Speech & Image Information Processing (SAIIP) School of Computer Science Northwestern Polytechnical University Xi'an China Biomedical and Multimedia Information Technology (BMIT) Research Group School of Information Technologies University of Sydney Australia

ISBN: (纸本)9781424442959

We present a novel method for 3D face recognition, in which the 3D facial surface is first mapped into a 2D domain with specified resolution through a global optimization by constrained conformal geometric maps. The Intrinsic Shape Description Map (ISDM) is then constructed through a modeling technique capable to express geometric and appearance information of the 3D face. Hence the 3D surface matching problem can be simplified to a 2D image matching problem, which greatly reduces the computational complexity. Finally, the Intrinsic Shape Description Feature (ISDF) of ISDM and the discrimination analysis can be calculated. Experimental results implemented on GavabDB demonstrate that our proposed method significantly outperforms the existing methods with respect to pose variation.

关键词： Face recognition Conformal Geometric Maps Intrinsic Shape Description Map

来源：评论

学校读者我要写书评

暂无评论

Computational modeling of binding site for RNA-ligand complex by learning Multi-modal features

TechRxiv

引用

TechRxiv 2023年

作者： Wang, Junkai Quan, Lijun Jin, Zhi Wu, Hongjie Ma, Xuhao Wang, Xuejiao Xie, Jingxin Pan, Deng Chen, Taoning Wu, Tingfang Lyu, Qiang School of Computer Science and Technology of Soochow University Jiangsu215006 China Province Key Lab for Information Processing Technologies Soochow University Jiangsu215006 China Collaborative Innovation Center of Novel Software Technology and Industrialization Jiangsu210000 China School of Electronic and Information Engineering Suzhou University of Science and Technology Jiangsu215009 China

This study aims to address the complexity of predicting RNA-small molecule binding sites to explore the potential value in the field of RNA drug targets. To address this challenge, we propose the MultiModRLBP method, which integrates multi-modal features using deep learning algorithms. These features include 3D structural properties at the nucleotide base level, relational graphs based on overall RNA structure, and semantically rich RNA sequence information. Different deep modules are employed to learn high-dimensional different modility of semantic features. RNAbert is fine-tuned to learn sequence information, relational graph convolutional network focuses on capturing various relationships between different nodes in the RNA graph, and CNN directly and indirectly captures local and global 3D structural features. Consequently, MultiModRLBP can better reflect the inherent complex relationships within RNA. Furthermore, we expanded the dataset to include RNA complexes with the same RNA sequences but varying structures, enabling the model to better grasp subtle changes at the structural level. The research results demonstrate that the performance of MultiModRLBP outperforms state of the art methods across multiple classic test sets, especially in predicting binding sites located in pockets or those that are distantly distributed along the sequences. This advancement holds promise in reducing the costs of RNA-targeted drugs development. © 2023, CC BY.

关键词： Binding sites

来源：评论

学校读者我要写书评

暂无评论

On automatic classification for agricultural products web pages in chinese based on LVQ network and ontology

引用

Journal of Computational information Systems 2008年第3期4卷 971-976页

作者： Wang, Chuanyi Fu, Zetian Zhang, Jian Hu, Liang Wang, Feng Zhang, Xiaoshuan China Agricultural University Beijing 100083 China Key Laboratory for Modern Precision Agriculture System Integration China Agricultural University Beijing 100083 China Beijing Information S and T University Beijing 100000 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou 215000 China

The user often retrieves few anticipated results when searching information in Internet via generalized search engine due that the web pages also exist the synonymous and ambiguous characteristic. How to classify the webpage is the key point to construct vertical search engine, which is known as solution for the problems. This paper proposes a conceptual framework based on Learning Vector Quantization (LVQ) network and Ontology to automatic classification for the webpage from agricultural website. System test shows that the framework can automatically classify Chinese agricultural products web pages and perfectly resolve the synonymous problem.

关键词： Ontology

来源：评论

学校读者我要写书评

暂无评论

Research on intrusion detection model of heterogeneous attributes clustering

Journal of Software

引用

Journal of Software 2012年第12期7卷 2823-2831页

作者： Xie, Linquan Wang, Ying Yu, Fei Xu, Chen Yue, Guangxue School of Science Jiangxi University of Science and Technology 341000 Ganzhou China School of Science Jiangxi University of Science and Technology 341000 Ganzhou China Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University 215000 Soochow China School of Information Science and Engineering Hunan University 416000 Changsha China Department of Computer Science and Technology Huaihua University Huaihua China

A fuzzy clustering algorithm for intrusion detection based on heterogeneous attributes is proposed in this paper. Firstly, the algorithm modifies the comparability measurement for the categorical attributes according to the formula of Hemingway;then, for the shortages of fuzzy C-means clustering algorithm: initialize sensitively and easy to get into the local optimum, the presented new algorithm is optimized by GuoTao approach. We simulate our algorithm with the KDDCUP99 data set, and the results show that the convergence rate of the new algorithm is faster than the original fuzzy C-means clustering algorithm and the performance of our algorithm is more stable. © 2012 ACADEMY PUBLISHER.

关键词： Intrusion detection

来源：评论

学校读者我要写书评

暂无评论

Research on Remote Heterogeneous Disaster Recovery technology in Grid Computing Security

Research on Remote Heterogeneous Disaster Recovery Technolog...

引用

International Conference on Semantics, Knowledge and Grid (SKG)

作者： Ronghui Wu Ronghui Wu Renfa Li Renfa Li Fei Yu Fei Yu Guangxue Yue Guangxue Yue Jigang Wen Jigang Wen State Key Laboratory for Novel Software Technology Nanjing University Nanjing China School of Computer & Communication Hunan University Changsha China Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou Jiangsu Province China College of Informationg Engineering JiaXing University JiaXing China

The tradition standby mechanism can't carry out the dynamic Disaster Recovery of database between distributed isomeric storage systems, accordingly, research the method of allopatric isomeric backup based on grid calculation is an important research subject. In this paper, some technique and strategy of allopatric isomeric backup in grid calculation environment are researched by comparing and analyzing the existing technique of database allopatric backup, a remote-data copy method is presented, a remote-data disaster dump system and a allopatric isomeric data Disaster Recovery tool are designed and implemented based on interlayer.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Annular pupil in optical scanning holography

Annular pupil in optical scanning holography

引用

2019 Conference on Digital Holography and Three-Dimensional Imaging, DH 2019

作者： Zhang, Yaping Wang, Rende Wang, Lin Tsang, Peter Poon, T.-C. Key Lab of Laser Information Processing Technology and Application Kunming University of Science and Technology Kunming650500 China School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing Jiangsu210094 China Department of Electronic Engineering City University of Hong Kong 83 Tat Chee Avenue Kowloon Hong Kong Bradley Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA24061 United States

Optical scanning holography (OSH) is a variant of two-pupil heterodyning image processing. We investigate the use of one pupil as a delta function and the other being an annulus as an extended application of OSH. ... 详细信息

ISBN: (纸本)9781943580590

关键词： Holography

来源：评论

学校读者我要写书评

暂无评论

Cross-domain attribute representation based on convolutional neural network*

arXiv

引用

arXiv 2018年

作者： Zhang, Guohui Liang, Gaoyuan Su, Fang Qu, Fanxin Wang, Jing-Yan Huawei Technologies Co. Ltd. Shanghai China Jiangsu University of Technology Jiangsu213001 China Shaanxi University of Science & Technology Xi’an China Northwestern Polytechnical University Xi’an China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou215006 China

In the problem of domain transfer learning, we learn a model for the prediction in a target domain from the data of both some source domains and the target domain, where the target domain is in lack of labels while the source domain has sufficient labels. Besides the instances of the data, recently the attributes of data shared across domains are also explored and proven to be very helpful to leverage the information of different domains. In this paper, we propose a novel learning framework for domain-transfer learning based on both instances and attributes. We proposed to embed the attributes of different domains by a shared convolutional neural network (CNN), learn a domain-independent CNN model to represent the information shared by different domains by matching across domains, and a domain-specific CNN model to represent the information of each domain. The concatenation of the three CNN model outputs is used to predict the class label. An iterative algorithm based on gradient descent method is developed to learn the parameters of the model. The experiments over benchmark datasets show the advantage of the proposed model. Copyright © 2018, The Authors. All rights reserved.

关键词： Gradient methods

来源：评论

学校读者我要写书评

暂无评论

Research on User Authentication for Grid Computing Security

Research on User Authentication for Grid Computing Security

引用

International Conference on Semantics, Knowledge and Grid (SKG)

作者： Ronghui Wu Ronghui Wu Renfa Li Renfa Li Fei Yu Fei Yu Guangxue Yue Guangxue Yue Cheng Xu Cheng Xu State Key Laboratory of Information Security Graduate School of Chinese Academy of Sciences Beijing China School of Computer & Communication Hunan University Changsha China Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou Jiangsu Province China College of Informationg Engineering JiaXing University JiaXing China

Recently, Authentication protocol has been recognized as an important factor for grid computing security. This paper described a new simple and efficient Grid authentication system providing user anonymity. Our system is based on hash function, and mobile users only do symmetric encryption and decryption. In our system, it takes only one round of messages exchange between the mobile user and the visited network, and one round of message exchange between the visited network and the corresponding home network. The proposed architecture possesses several desirable emerging properties that enable it to provide an improved level of security for grid computing systems..

关键词：

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

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

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

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

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：