检索结果-内蒙古大学图书馆

Economic development prediction based on wavelet LSSVM algorithm

Journal of Computational Information Systems 2013年第13期9卷 5197-5204页

作者： Li, Ping Zhang, Yu Wang, Jie Li, Weiming Ding, Dawei Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China

This paper is to predict economic development based on wavelet least squares support vector machine algorithm. The same as support vector machine, least squares support vector machine employs the principle of structure risk minimization, which has better generalization ability compared with SVM. In the study, wavelet kernel function can be used to create the kernel function of least squares support vector machine. In order to testify the effective of wavelet least squares support vector machine for economic development prediction, the comparison of the prediction error among the three prediction methods: wavelet least squares support vector machine, least squares support vector machine and support vector machine is performed. Obviously, the prediction error of wavelet least squares support vector machine for economic development is smaller than other prediction models. Therefore, we can conclude that the prediction ability of wavelet least squares support vector machine for economic development is better than least squares support vector machine and support vector machine. © 2013 by Binary Information Press.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Video summarization by robust low-rank subspace segmentation

Video summarization by robust low-rank subspace segmentation

引用

8th International Conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2013

作者： Tu, Zhengzheng Sun, Dengdi Luo, Bin Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei230039 China School of Computer Science and Technology Anhui University Hefei230601 China Key Lab of Industrial Image Processing and Analysis of Anhui Province Hefei230039 China

ISBN: (纸本)9783642375019

Video summarization provides condensed and succinct representations of the content of a video stream. A static storyboard summarization approach based on robust low-rank subspace segmentation is proposed in this paper. Firstly, video frames are represented as multi-dimensional vectors, and then embedded into a group of affine subspaces using low-rank representation according to the content similarity of the frames in the same subspace. Secondly, a series of subspaces are segmented based on the Normalized Cuts algorithm. The video summary is finally generated by choosing key frames from the significant subspaces and ranking these key frames in temporal order. The experimental results demonstrate that the proposed summarization algorithm can produce crucial key frames and effectively reduce the visual content redundancy in summary comparing with the conventional approaches. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Vectors

来源：评论

学校读者我要写书评

暂无评论

Automatic image annotation using semantic relevance 13

Automatic image annotation using semantic relevance

引用

5th International Conference on Internet Multimedia computing and Service, ICIMCS 2013

作者： Zhao, Peng Lu, Yijuan Wang, WenBin Zhu, WeiWei Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230601 China Dept. of Computer Science Texas State University San Marcos TX 78666 United States

ISBN: (纸本)9781450322522

Due to the semantic gap between low-level visual feature and high-level semantic concept, image annotation plays an important role in image retrieval. In this paper, an automatic image annotation approach using semantic relevance is proposed. It constructs an improved probabilistic model to characterize different regions' contributions to the semantics more accurately based on the spatial, visual and contextual information of the region. And it also helps expand the coverage of the semantic concept with semantic relevance information. The performance of the proposed approach has been evaluated on the standard Corel dataset. The experimental results have demonstrated its potential and effectiveness. © 2013 ACM.

关键词： Image annotation

来源：评论

学校读者我要写书评

暂无评论

Improving whisper intelligibility in noise environment based on joint time frequency analysis

引用

Information Technology Journal 2013年第6期12卷 1089-1097页

作者： Zhou, Jian Wang, Huabin Fang, Xianyong Tao, Liang Zhao, Li Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Heifei 230601 China Key Laboratory of Underwater Acoustic Signal Processing Ministry of Education Southeast University Nanjing 210096 China

A whisper intelligibility enhancement method was proposed based on the Real-valued Discrete Gabor Transform (RDGT) in the joint time frequency domain where the RDGT can change the density of the spectrum through the over sample rate parameter. An optimal logarithmic spectrum estimator was derived based on RDGT coefficients. Experimental results showed that the proposed method improved the intelligibility of enhanced whisper in an adverse noise environment when using a proper over sample rate value. The largest gains in intelligibility were got when the over sample rate value is set to 16 or 32. The proposed method outperforms other four speech enhancement algorithms in terms of intelligibility improvement. The experimental results also implied that the intelligibility performance of the conventional speech enhancement algorithms might be improved when increasing the density of the time-frequency spectrum properly. © 2013 Asian Network for Scientific Information.

关键词： Frequency domain analysis

来源：评论

学校读者我要写书评

暂无评论

An Implementation of Membrane Algorithms on GPU

An Implementation of Membrane Algorithms on GPU

引用

The Second Asian Conference on Membrane computing(ACMC2013)

作者： Xingyi Zhang Dong Qin Zhuanlian Ding Jin Tang Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University

Membrane algorithms are a new class of heuristic algorithms, which attempt to incorporate some components of membrane computing models (also called P systems) for designing efficient optimization algorithms, such as the structure of P systems, the way of communication between cells, etc. Membrane algorithms are a kind of parallel methods, where many operations can be performed in parallel. Although the importance of the parallelism of such algorithms is recognized, membrane algorithms were often implemented on the serial computing device Central processing Unit (CPU), which makes the algorithms cannot work in a more efficient way. In this work, we consider the implementation of membrane algorithms on the parallel computing device Graphics processing Unit (GPU). Under such implementation, all cells of membrane algorithms can work simultaneously. Experiment results on two classical intractable problems, point set matching problem and TSP, show that GPU implementation of membrane algorithms is much more efficient than CPU implementation in terms of runtime, especially for solving the problems with a high complexity.

关键词： Membrane computing Membrane algorithm Parallel computing device GPU

来源：评论

学校读者我要写书评

暂无评论

Low-cost circuit design of EEG signal acquisition for the brain-computer interface system

Low-cost circuit design of EEG signal acquisition for the br...

引用

International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Lei Zhang Xiao-jing Guo Xiao-pei Wu Beng-yan Zhou Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei China

Increasing number of research activities and different types of studies in brain-computer interface systems (BCIs) show potential in this young research area. However, BCIs have not become widely applied, most of them are still limited in the laboratory and off-line. One of the important reasons is that: EEG signal acquisition is completed by the professional medical equipments. They are expensive and the parameters of them cannot be flexiblely changed with the specific BCI experiment paradigm. In the paper, a single-channel low-cost circuit of EEG signal acquisition for the BCI system is designed. The circuit is composed of protection circuit, instrumentation amplifier, common mode rejection (CMR) circuit, gain adjustable amplifiers and filters. In order to test this circuit, the circuit simulation and the real-time EEG measurements are implemented. The experimental results show that the circuit is effective with good performance, it is very suitable for the online BCI system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Accelerated Plasma Simulations using the FDTD Method and the CUDA Architecture

Accelerated Plasma Simulations using the FDTD Method and the...

引用

2013 International Symposium on Antennas and Propagation(2013天线与传播国际会议)

作者： Wei Meng Yufa Sun Key Lab or Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei P.R.China

This letter presents the graphic processor unit (GPU)implementation of the finite-difference time-domain (FDTD)method for the solution of the two-dimensional electromagnetic fields inside dispersive *** improved Z-transform-based finite-difference time-domain (ZTFDTD) method was presented for simulating the interaction of electromagnetic wave with unmagnetized *** using the newly introduced Compute Unified Device Architecture (CUDA) technology, we illustrate the efficacy of GPU in accelerating the FDTD computations by achieving significant speedups with great ease and at no extra hardware *** effect of the GPU-CPU memory transfers on the speedup will be also studied.

关键词： GPU FDTD Z-transform CUDA

来源：评论

学校读者我要写书评

暂无评论

A model of three points for location estimation in wireless sensor networks

引用

2013 2nd International Symposium on Materials Science and Engineering Technology, ISMSET 2013

作者： Xie, Shao Guo Hu, Yan Jun Wang, Yi Jiang, Fang Liu, Jing Jing Wang, Ying Guan Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education AnHui University Hefei China Key Laboratory of Wireless Sensor Network and Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences 865 Changning Road Shanghai 200050 China

ISBN: (纸本)9783037858028

In this paper, we propose a novel model of three points named TP for location estimation in wireless sensor networks (WSNs) with random deployment of anchor nodes. In this model, we select three anchor nodes which have the strongest received signal strength (RSS) for location estimation, the centroid algorithm and the method of intersection of judgment are used to estimate the location of unknown nodes. To further exploit three nearest intersection points in TP, the enhanced TP (ETP) is proposed. The simulation results show that the proposed models outperform MMSE and BML in terms of the localization accuracy for WSNs. Moreover, the localization accuracy of the proposed models in scenario 2 with random deployment of anchor nodes are better than in scenario 1 with planned deployment of anchor nodes. Additionally, compared with MMSE and BML, ETP and TP can reduce the environmental impact on location estimation. © (2013) Trans Tech Publications, Switzerland.

关键词： Location

来源：评论

学校读者我要写书评

暂无评论

A fuzzy supervised learning method with dynamical parameter estimation for nonlinear discriminant analysis

A fuzzy supervised learning method with dynamical parameter ...

引用

作者： Song, Xiaoning Liu, Zi Yang, Xibei Yang, Jingyu School of Computer Science and Engineering Jiangsu University of Science and Technology Zhenjiang 212003 China School of Computer Science and Technology Nanjing University of Science and Technology Nanjing 210094 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China

In this paper, we develop a novel fuzzy supervised learning algorithm based on the dynamical parameter estimation. First, a reformative supervised fuzzy LDA algorithm (RF-LDA) for the training samples is proposed. Compared with the conventional fuzzy LDA algorithm, the presented algorithm computes the discriminant vectors associated with the membership grade from each training sample, which is theoretically effective in overcoming the classification limitation originating from the imprecise samples. Second, when a novel fuzzy LDA model is required in order to take some decision about the feature extraction and classification, the dynamical parameter estimation method of the fuzzy LDA model should recursively process the measured data as they become available. In the line of previous arguments, we approach the problem of control parameter estimation of RF-LDA by considering the formulation of a Hopfield Neural Network (HNN), which is named HRF-LDA. Third, considering the fact that the Kernel Fisher Discriminant (KFD) is effective in extracting the nonlinear discriminative information of the feature space by using kernel trick, a kernel version of HRF-LDA is presented subsequently, which has the potential to outperform the traditional fuzzy learning algorithms, especially in the cases of nonlinear small sample sizes. The advantage of this learning algorithm is that it successfully utilizes the improved kernel fuzzy LDA algorithm as a supervised feature extraction tool. Meanwhile, by means of the control parameter estimation, we address the problem that the particular value of offset in the calculation of the grade of membership is dynamically assigned. Extensive experimental studies conducted on the ORL, NUST603, FERET, Yale and XM2VTS face images show the effectiveness of the proposed fuzzy integrated algorithm. © 2013 Elsevier Ltd. All rights reserved.

关键词： Parameter estimation

来源：评论

学校读者我要写书评

暂无评论

A structural description: ordered AND/OR graph

引用

Journal of Information and Computational Science 2013年第11期10卷 3323-3330页

作者： Chen, Jie Zhang, Yanping Zhao, Shu School of Computer Science and Technology Anhui University Hefei 230039 China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China

In the real word, the complex problems usually have netted structure, namely netted problems. The general methods to solve this kind of problems are based on the sequence structural description or tree structural description of problem. But the netted structure of complex problem cannot be simple pictured by sequence or tree. To precisely describe the structure of netted problem and simplify the solution procedure, ordered AND/OR graph is proposed in this paper to depict the problem structure. The graph has the hierarchy of tree structure, as well as nodes in this graph have AND relation and OR relation. More importantly, among the siblings from the same father node there exits order relationships. In this paper, an applicable example is given, and experiments show that the description of structure of netted problem is effective. © 2013 Binary Information Press.

关键词： Forestry

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：