检索结果-内蒙古大学图书馆

Fast assignment reduction in inconsistent incomplete decision systems

Journal of Systems Engineering and Electronics 2014年第1期25卷 83-94页

作者： Min Li Shaobo Deng Shengzhong Feng Jianping Fan Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Nanchang Institute of Technology Graduate School of Chinese Academy of Sciences Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of Sciences

This paper focuses on fast algorithm for computing the assignment reduct in inconsistent incomplete decision systems. It is quite inconvenient to judge the assignment reduct directly ac-cording to its definition. We propose the judgment theorem for the assignment reduct in the inconsistent incomplete decision system, which greatly simplifies judging this type reduct. On such basis, we derive a novel attribute significance measure and construct the fast assignment reduction algorithm （F-ARA）, intended for com-puting the assignment reduct in inconsistent incomplete decision systems. Final y, we make a comparison between F-ARA and the discernibility matrix-based method by experiments on 13 Univer-sity of California at Irvine （UCI） datasets, and the experimental results prove that F-ARA is efficient and feasible.

关键词： assignment reduction upper approximation reduction,inconsistent incomplete decision system rough set.

来源：评论

学校读者我要写书评

暂无评论

A method of terminology alignment in Historical Books based on the correspondence between Pivot language and position 2

A method of terminology alignment in Historical Books based ...

引用

2021 2nd International Conference on Computer Information and Big Data Applications, CIBDA 2021

作者： Xie, Xingchen Wu, Xiaoting Wei, Xiaopeng Che, Chao Key Laboratory of Advanced Design and Intelligent Computing Dalian University Dalian Liaoning116622 China

In view of the most difficult problem of terminology translation in the translation of historical books, this paper extracts term translation pairs from bilingual parallel corpus as a reference to improve the quality and efficiency of the translation of historical books. However, the small size of the corpus of historical books leads to poor word alignment, which brings a large number of errors to term alignment. At the same time, the special grammar of ancient Chinese will also affect term alignment. In order to solve the above two problems, this paper proposes a method of term alignment of historical books based on pivot language and position correspondence. This method introduces modern Chinese as the pivot language, makes use of the position correspondence between modern Chinese and English terms in sentences, and uses the sliding window method to generate candidate term pairs, which avoids the influence of word alignment errors on term alignment. In addition, if we first align to modern Chinese, the ancient Chinese terminology will complete the omitted characters in modern Chinese and replace the false characters, so as to avoid the influence of the special usage in ancient Chinese on the term alignment. The experimental results in Historical Records show that the accuracy of this method is slightly better than that of the method based on word alignment, which verifies the effectiveness of this method without word alignment. © Published under licence by IOP Publishing Ltd.

关键词： Terminology

来源：评论

学校读者我要写书评

暂无评论

Cross-Stage Mutual Distillation for Replay Attack Detection 9

Cross-Stage Mutual Distillation for Replay Attack Detection

引用

9th International Conference on intelligent computing and Signal Processing, ICSP 2024

作者： Cheng, Yinqing Zhao, Lasheng Wang, Ling Wang, Han Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian China

ISBN: (纸本)9798350376548

Automated speaker verification systems face a higher risk of replay attacks in practice. However, the existing studies face the problem of limited detection capabilities and insufficient use of shallow fine-grained information. To address these issues, we propose the cross-stage mutual distillation(CS-MD) framework, which involves two models learning from a deep network output of each other in different stages of training. This mutual learning approach enhances the ability of shallow networks to capture fine-grained speech information. Additionally, we use an attentional feature fusion module to integrate shallow information more effectively. The multi-scale attention mechanisms in this module can combine local and global speech features while preserving detailed information. Experimental results on the ASVspoof 2019 physical access dataset demonstrate that our proposed method outperforms state-of-the-art methods in terms of EER and min t-DCF metrics, validating the effectiveness of our CS-MD framework. © 2024 IEEE.

关键词： Speech enhancement

来源：评论

学校读者我要写书评

暂无评论

Robust keyword Spotting Based on Long-Term Feature Fusion and Band-Weighted Normalization 7

Robust Keyword Spotting Based on Long-Term Feature Fusion an...

引用

7th International Conference on Computer Information Science and Application Technology, CISAT 2024

作者： Qiu, Zepeng Zhao, Lasheng Wang, Ling Zhang, Tingting Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian China

ISBN: (纸本)9798350375107

Currently, convolution-based models for keyword spotting focus predominantly on research conducted in clean speech environments. However, their recognition accuracy is lower in low signal-to-noise ratio conditions. To enhance model robustness, we propose the long-term feature fusion module. By extracting and fusing long-term features in both the time and frequency domains, the model's perception of long-term features is strengthened, improving its recognition performance in noisy environments. At the same time, we propose a band-weighted normalization method, allowing the model to adjust the importance of different frequency bands during the normalization process, further enhancing the robustness of the model. Experimental results indicate that, on the Google Speech Command V2 dataset, the proposed model achieves higher recognition accuracy under various signal-to-noise ratios compared to the comparative models, with a lower parameter count. Moreover, the proposed model exhibits superior generalization to signal-to-noise ratios not covered during the training phase. © 2024 IEEE.

关键词： Long Term Evolution (LTE)

来源：评论

学校读者我要写书评

暂无评论

Acoustic Word Embedding Model with Transformer Encoder and Multivariate Joint Loss 11

Acoustic Word Embedding Model with Transformer Encoder and M...

引用

11th International Conference on intelligent computing and Wireless Optical Communications, ICWOC 2023

作者： Gao, Yunyun Zhang, Qiang Zhao, Lasheng Dalian University Ministry of Education Key Laboratory of Advanced Design and Intelligent Computing Dalian China

ISBN: (纸本)9798350321791

As a representation of speech information, acoustic word embedding can enable query-by-example keyword search with low-resource speech data. An acoustic word embedding model with Transformer encoder and multivariate joint loss is presented in this article. First of all, on the basis of BLSTM, the model can extract richer information by adding a Transformer encoder, which improves representation ability of the embedding vector. Then, the contrast loss is improved according to the multiple negative samples, and combined with the hinge loss with distance characteristics, the model generates a more compact vector representation and improves the identification of features. Finally, considering the unbalanced characteristics of samples, the anti-focal loss is introduced to form a multivariate joint loss together with the above two losses, so as to make the model performance better. The model has achieved certain results in word recognition tasks and has certain competitiveness compared with other acoustic word models. © 2023 IEEE.

关键词： Embeddings

来源：评论

学校读者我要写书评

暂无评论

Time-varying stiffness analysis of a rotor system with a straight–fronted slant breathing crack

Time-varying stiffness analysis of a rotor system with a str...

引用

2014 International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SMTA 2014

作者： Han, Minglei Zhang, Jianxin Zhang, Qiang Wei, Xiaopeng Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian university Dalian China

ISBN: (纸本)9781845649821

This paper calculates the finite element stiffness of a rotating shaft with a straight-fronted slant crack based on neutral axis method. In a steady rotation cycle, a 45-degree straight-fronted slant breathing crack is compared with a transverse one in different depths in the area of the crack breathing mechanism and time-varying characteristics of the shaft stiffness. The comparison between a slant crack and a transverse crack shows that the opening and closing mechanism is substantially the same, while the shaft stiffness differences are significant;as the crack inclination angle decreased, the stiffness of the shaft element tends to harmonic vibration. © 2014 WIT Press.

关键词： Stiffness

来源：评论

学校读者我要写书评

暂无评论

A method of facial animation retargeting based on motion capture 1

引用

8th International Conference on Image and Graphics, ICIG 2015

作者： Zhou, Dongsheng Liang, Xiaoying Zhang, Qiang Dong, Jing Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian China

ISBN: (数字)9783319219783

ISBN: (纸本)9783319219776

By using facial motion data from passive optical motion capture system, this paper proposed an animation reconstruction approach, which is aimed to solve the common problem: model discontinuity and reconstructing a real-like facial animation. For this problem, a facial animation reconstruction approach with model divisions is proposed. We first divide facial model into different regions and request the deformed motion data by deploying RBF mapping. Then we adjust the deformed motion data to ensure their exactness. Besides, considering the nonlinear relationship of neighbors with the current point, we also proposed a facial animation reconstruction approach without model divisions, where we apply the motion of one-ring neighbors to adjust the deformed motion data. The experiments show that the proposed methods have an acceptable precision of reconstruction. © Springer International Publishing Switzerland 2015.

关键词： Radial basis function networks

来源：评论

学校读者我要写书评

暂无评论

Adaptive Wavelet Filters as Practical Texture Feature Amplifiers for Parkinson’s Disease Screening in OCT

arXiv

引用

arXiv 2025年

作者： Zhang, Xiaoqing Shi, Hanfeng Li, Xiangyu Ye, Haili Xu, Tao Li, Na Hu, Yan Lv, Fan Chen, Jiangfan Liu, Jiang Center for High Performance Computing and Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Research Institute of Trustworthy Autonomous Systems Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China State Key Laboratory of Ophthalmology Optometry and Vision Science Wenzhou Medical University Wenzhou China Centre for Computational Science and Mathematical Modelling Coventry University Coventry United Kingdom School of Computer Science University of Nottingham Ningbo China Ningbo315100 China School of Ophthalmology and Optometry Wenzhou Medical University Wenzhou325035 China Department of Electronic and Information Engineering Changchun University Changchun130022 China

Parkinson’s disease (PD) is a prevalent neurodegenerative disorder globally. The eye’s retina is an extension of the brain and has great potential in PD screening. Recent studies have suggested that texture features extracted from retinal layers can be adopted as biomarkers for PD diagnosis under optical coherence tomography (OCT) images. Frequency domain learning techniques can enhance the feature representations of deep neural networks (DNNs) by decomposing frequency components involving rich texture features. Additionally, previous works have not exploited texture features for automated PD screening in OCT. Motivated by the above analysis, we propose a novel Adaptive Wavelet Filter (AWF) that serves as the Practical Texture Feature Amplifier to fully leverage the merits of texture features to boost the PD screening performance of DNNs with the aid of frequency domain learning. Specifically, AWF first enhances texture feature representation diversities via channel mixer, then emphasizes informative texture feature representations with the well-designed adaptive wavelet filtering token mixer. By combining the AWFs with the DNN stem, AWFNet is constructed for automated PD screening. Additionally, we introduce a novel Balanced Confidence (BC) Loss by mining the potential of sample-wise predicted probabilities of all classes and class frequency prior, to further boost the PD screening performance and trustworthiness of AWFNet. The extensive experiments manifest the superiority of our AWFNet and BC over state-of-the-art methods in terms of PD screening performance and trustworthiness. © 2025, CC BY-NC-SA.

关键词： Neurodegenerative diseases

来源：评论

学校读者我要写书评

暂无评论

Artificial bee colony algorithm for the protein structure prediction based on the toy model

引用

Fundamenta Informaticae 2015年第3期136卷 241-252页

作者： Li, Yanzhang Zhou, Changjun Zheng, Xuedong Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University No.10 Xuefu Street Jinzhou New District Dalian Liaoning Province China

The protein structure folding is one of the most challenging problems in the field of bioinformatics. The main problem of protein structure prediction in the 3D toy model is to find the lowest energy conformation. Although many heuristic algorithms have been proposed to solve the protein structure prediction (PSP) problem, the existing algorithms are far from perfect since PSP is an NP-problem. In this paper, we proposed an artificial bee colony (ABC) algorithm based on the toy model to solve PSP problem. In order to improve the global convergence ability and convergence speed of the ABC algorithm, we adopt a new search strategy by combining the global solution into the search equation. Experimental results illustrate that the suggested algorithm can get the lowest energy when the algorithm is applied to the Fibonacci sequences and to four real protein sequences which come from the Protein Data Bank (PDB). Compared with the results obtained by PSO, LPSO, PSO-TS, PGATS, our algorithm is more efficient.

关键词： Heuristic algorithms

来源：评论

学校读者我要写书评

暂无评论

A stratified image-hiding method based on chaos

A stratified image-hiding method based on chaos

引用

2010 IEEE 5th International Conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2010

作者： Li, Ying Zhang, Qiang Ma, Na Key Laboratory of Advanced Design and Intelligent Computing Dalian university Ministry of Education Dalian 116622 China

ISBN: (纸本)9781424464388

This paper presents a stratified image hiding scheme based on chaotic algorithm. In the pretreatment process chaotic sequences are used to encrypt the secret image. The histogram of the processed image is similar to that of white noise. A stratified secret data embedding thought is adopted in the embedding process. As the experimental results show, this algorithm has relatively large embedding capacity, good invisibility and robustness. © 2010 IEEE.

关键词： White noise

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：