检索结果-内蒙古大学图书馆

International Journal of Signal processing, Image processing and Pattern Recognition 2015年第7期8卷 111-122页

作者： Yu, Chun-Yan Zhang, Wei-Shi Wang, Chun-Li Institute of Information and Science Technology Dalian Maritime University China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University No.3 Feixi Road Hefei China

To highlight the saliency object clearly from the foreground, we propose a saliency detection method based on global contrast with cluster. Due to the fact that background pixels usually have similar patches, we use cluster analysis to merge the background regions. By using mean shift filter, the background pixels with similar color level are clustered and the saliency calculation can be decreased a lot. In the method, we use the contrast of color feature with all the other pixels to compute the saliency map. A weight coefficient is utilized to improve the detection accuracy in global contrast differences evaluation. The results of extensive experiments on public dataset show that our method perform well and can highlight the salient object clearly against the other five state-of-the-art methods. Besides, we demonstrate that the applications in image segmentation and fusion with our saliency map can get satisfactory results. © 2015 SERSC.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

MR-COF:A Genetic MapReduce Configuration Optimization Framework

MR-COF:A Genetic MapReduce Configuration Optimization Framew...

引用

The 7th International Symposium on Parallel Architectures, Algorithms and Programming, PAAP2015(2015年第七届国际并行体系结构,算法和编程研讨会)

作者： Chao Liu Deze Zeng Hong Yao Chengyu Hu Xuesong Yan Yuanyuan Fan China Services Computing Technology and System Lab and Cluster and GridComputing Lab Huazhong University of Science and TechnologyWuhan 430074China Hubei Key Laboratory of Intelligent Geo-Information Processing China University of GeosciencesWuhan 430074China

Hadoop/MapReduce has emerged as a de facto programming framework to explore cloud-computing *** has many configuration parameters,some of which are crucial to the performance of MapReduce *** practice,these parameters... 详细信息

ISBN: (纸本)9783319271392

关键词： Mapreduce Massive data processing Parameter configuration Performance optimization Search algorithm

来源：评论

学校读者我要写书评

暂无评论

Communication Tool for the Hard of Hearings: A Large Vocabulary Sign Language Recognition System

Communication Tool for the Hard of Hearings: A Large Vocabul...

引用

International Conference on Affective computing and intelligent Interaction

作者： Xiujuan Chai Hanjie Wang Fang Yin Xilin Chen Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS

ISBN: (纸本)9781479999545

Deaf person has a large social community around the world. The smooth communication is very difficult for these hard of hearings. Automatic Sign Language Recognition (SLR) can build the bridge between the deaf and the hearings and turn the seamless interaction into reality. This paper presents a visualized communication tool for the hard of hearings, i.e. a large vocabulary sign language recognition system based on the RGB-D data input. A novel Grassmann Covariance Matrix (GCM) representation is used to encode a long-term dynamics of a sign sequence and the discriminative kernel SVM is adopted for the sign classification. For continuous sign language recognition, a probability inference method is used to determine the spotting from the lab.ls of sequential frames. Some basic evaluation and comparison of our recognition algorithms are conducted in our collected datasets. This demo will show the recognition of both isolated sign words and the continuous sign language sentences.

关键词： Sign language recognition Sentence spotting Grassmann covariance matrix Kernel SVM RGB-D data

来源：评论

学校读者我要写书评

暂无评论

Shape driven kernel adaptation in Convolutional Neural Network for robust facial trait recognition

Shape driven kernel adaptation in Convolutional Neural Netwo...

引用

Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Shaoxin Li Junliang Xing Zhiheng Niu Shiguang Shan Shuicheng Yan Department of Electrical and Computer Engineering National University of Singapore Singapore Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing China National Laboratory of Pattern Recognition Institute of Automation CAS Beijing China

ISBN: (纸本)9781467369657

One key challenge of facial trait recognition is the large non-rigid appearance variations due to some irrelevant real world factors, such as viewpoint and expression changes. In this paper, we explore how the shape information, i.e. facial landmark positions, can be explicitly deployed into the popular Convolutional Neural Network (CNN) architecture to disentangle such irrelevant non-rigid appearance variations. First, instead of using fixed kernels, we propose a kernel adaptation method to dynamically determine the convolutional kernels according to the spatial distribution of facial landmarks, which helps learning more robust features. Second, motivated by the intuition that different local facial regions may demand different adaptation functions, we further propose a tree-structured convolutional architecture to hierarchically fuse multiple local adaptive CNN subnetworks. Comprehensive experiments on WebFace, Morph II and MultiPIE databases well validate the effectiveness of the proposed kernel adaptation method and tree-structured convolutional architecture for facial trait recognition tasks, including identity, age and gender recognition. For all the tasks, the proposed architecture consistently achieves the state-of-the-art performances.

关键词： Kernel Shape Face Face recognition Robustness Neural networks Computer architecture

来源：评论

学校读者我要写书评

暂无评论

Using pLink to analyze cross-linked peptides

引用

Current Protocols in Bioinformatics 2015年第1期2015卷 8.21.1-8.21.19页

作者： Fan, Sheng-Bo Meng, Jia-Ming Lu, Shan Zhang, Kun Yang, Hao Chi, Hao Sun, Rui-Xiang Dong, Meng-Qiu He, Si-Min Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing China University of the Chinese Academy of Sciences Beijing China National Institute of Biological Sciences Beijing China

pLink is a search engine for high-throughput identification of cross-linked peptides from their tandem mass spectra, which is the data-analysis step in chemical cross-linking of proteins coupled with mass spectrometry analysis. pLink has accumulated more than 200 registered users from all over the world since its first release in 2012. After 2 years of continual development, a new version of pLink has been released, which is at least 40 times faster, more versatile, and more user-friendly. Also, the function of the new pLink has been expanded to identifying endogenous protein cross-linking sites such as disulfide bonds and SUMO (Small Ubiquitin-like MOdifier) modification sites. Integrated into the new version are two accessory tools: plab.l, to annotate spectra of cross-linked peptides for visual inspection and publication, and pConfig, to assist users in setting up search parameters. Here, we provide detailed guidance on running a database search for identification of protein cross-links using the 2014 version of pLink. © 2015 by John Wiley & Sons, Inc.

关键词： Cross-linking Mass spectrometry pLink

来源：评论

学校读者我要写书评

暂无评论

Group sensitive Classifier Chains for multi-lab.l classification

Group sensitive Classifier Chains for multi-label classifica...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Jun Huang Guorong Li Shuhui Wang Weigang Zhang Qingming Huang Key Lab of Big Data Mining and Knowledge Management University of Chinese Academy of Sciences ICT CAS Key Lab of Intelligent Information Processing (CAS) Beijing China Harbin Institute of Technology at Weihai Weihai China

In multi-lab.l classification, lab.ls often have correlations with each other. Exploiting lab.l correlations can improve the performances of classifiers. Current multi-lab.l classification methods mainly consider the global lab.l correlations. However, the lab.l correlations may be different over different data groups. In this paper, we propose a simple and efficient framework for multi-lab.l classification, called Group sensitive Classifier Chains. We assume that similar examples not only share the same lab.l correlations, but also tend to have similar lab.ls. We augment the original feature space with lab.l space and cluster them into groups, then learn the lab.l dependency graph in each group respectively and build the classifier chains on each group specific lab.l dependency graph. The group specific classifier chains which are built on the nearest group of the test example are used for prediction. Comparison results with the state-of-the-art approaches manifest competitive performances of our method.

关键词： Correlation Birds Accuracy Boats Training data Training Measurement

来源：评论

学校读者我要写书评

暂无评论

Study of automated PCNN system based on fruit fly optimization algorithm

引用

Journal of Computational information Systems 2014年第15期10卷 6635-6642页

作者： Zhao, Han Ding, Shifei School of Computer Science and Technology China University of Mining and Technology Xuzhou China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

As the third-generation neural network technology, pulse coupled neural network (PCNN) had used in many fields successfully, but it hindered its popularize that so many parameters of the PCNN need to be set up. This paper presented a new method to automatically determine the parameters of the PCNN based on Fruit Fly Optimization Algorithm (FOA). In proposed method, the information entropy of the image is defined as the fitness function of Fruit Fly Optimization Algorithm when searching the optimal solution. Mutual information is used as the evaluation criteria in the simulation experiments. Contrasted the simulation result with the experiments used the Otsu method, manual adjustment method, genetic algorithm method and PSO method, it shows that the FOA method is better than the others. © 2014 Binary information Press

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

RETRACTED: Dual-mode predictive flexible rotor control for active magnetic bearings with input constraints

引用

Journal of Vibration and Control 2016年第20期23卷 NP2页

作者： Yue Wu Jie Zhao Hai-Tao Zhang Ming-Can Fan Xi Yu Guangdong HUST Industrial Technology Research Institute Guangdong Province Key Lab of Digital Manufacturing Equipment ChinaKey Laboratory of Image Processing and Intelligent Control School of Automation State Key Laboratory of Digital Manufacturing Equipments and Technology Huazhong University of Science and Technology China Key Laboratory of Image Processing and Intelligent Control School of Automation State Key Laboratory of Digital Manufacturing Equipments and Technology Huazhong University of Science and Technology China Department of Mathematics Huizhou University China School of Electrical and Information Engineering Xi'an Technology University China

来源：评论

学校读者我要写书评

暂无评论

Joint Power Splitting and Secure Beamforming Design in the Wireless-powered Untrusted Relay Networks

Joint Power Splitting and Secure Beamforming Design in the W...

引用

IEEE Global Communications Conference

作者： Mingxiong Zhao Suili Feng Xiangfeng Wang Meng Zhang Yuan Liu Hao Fu School of Electronic and Information Engineering South China University of Technology Shanghai Key Lab. of Trustworthy Computing Software Engineering Institute East China Normal Univ.

ISBN: (纸本)9781479959532

In this work, we maximize the secrecy rate of the wireless-powered untrusted amplify-and-forward relay networks by jointly designing power splitting (PS) ratio and relay beamforming with the proposed global optimal algorithm (GOA) and local optimal algorithm (LOA). To guarantee secure communication, the destination-based artificial noise is sent to degrade the reception of the untrusted relay, and it also becomes a new source of energy powering relay to forward the information with power splitting (PS) technique. Simulation result shows that LOA can achieve satisfactory secrecy rate performance compared with that of GOA, but with less computation time. It also manifests that both proposed algorithms outperform the benchmark method.

关键词： Relay networks power splitting TRIM47 gene Loa computational time Beamforming reception relay Privacy

来源：评论

学校读者我要写书评

暂无评论

A light rule-based approach to english subject-verb agreement errors on the third person singular forms 29

A light rule-based approach to english subject-verb agreemen...

引用

29th Pacific Asia Conference on Language, information and Computation, PACLIC 2015

作者： Wang, Yuzhu Zhao, Hai Shi, Dan Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai Jiao Tong University Shanghai200240 China LangYing NLP Research Institute Shanghai Lang Ying Education Technology Co. Ltd China

Verb errors are one of the most common grammar errors made by non-native writers of English. This work especially focus on an important type of verb usage errors, subject-verb agreement for the third person singular forms, which has a high proportion in errors made by non-native English learners. Existing work has not given a satisfied solution for this task, in which those using supervised learning method usually fail to output good enough performance, and rule-based methods depend on advanced linguistic resources such as syntactic parsers. In this paper, we propose a rule-based method to detect and correct the concerned errors. The proposed method relies on a series of rules to automatically locate subject and predicate in four types of sentences. The evaluation shows that the proposed method gives state-of-The-Art performance with quite limited linguistic resources.

关键词： Errors

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：