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Logical difference analysis based on variable precision lower approximation operator and graded upper approximation operator

Logical difference analysis based on variable precision lowe...

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2012 International Conference on computer science and Information Processing, CSIP 2012

作者： Zhang, Xianyong Miao, Duoqian Department of Computer Science and Technology Tongji University Shanghai 201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China College of Mathematics and Software Science Sichuan Normal University Chengdu Sichuan 610068 China

ISBN: (纸本)9781467314114

This paper aims to construct and analyze an original logical difference based on the quantitative approximation operators. According to the variable precision lower approximation operator and graded upper approximation operator, we first put forward the specific logical difference;the new concept makes the specific logical combination on precision and grade, and has the practical multiple quantitative meaning. Then, both the fundamental structure and properties are investigated and obtained for the logical difference. Furthermore, two algorithms, the regular and structural algorithms, are proposed and analyzed, and the structural algorithm has more advantages. Finally, an example is provided. The proposed concept partially extends the graded and classical approximation operators;thus, some properties are achieved correspondingly for these previous approximation operators. © 2012 IEEE.

关键词： Rough set theory

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IncMR: Incremental Data Processing Based on MapReduce

IncMR: Incremental Data Processing Based on MapReduce

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IEEE International Conference on Cloud computing, CLOUD

作者： Cairong Yan Xin Yang Ze Yu Min Li Xiaolin Li Department of Computer Science and Technology Donghua University Shanghai China Scalable Software Systems Laboratory University of Florida FL USA

ISBN: (纸本)9781467328920

MapReduce programming model is widely used for large scale and one-time data-intensive distributed computing, but lacks flexibility and efficiency of processing small incremental data. IncMR framework is proposed in this paper for incrementally processing new data of a large data set, which takes state as implicit input and combines it with new data. Map tasks are created according to new splits instead of entire splits while reduce tasks fetch their inputs including the state and the intermediate results of new map tasks from designate nodes or local nodes. Data locality is considered as one of the main optimization means for job scheduling. It is implemented based on Hadoop, compatible with the original MapReduce interfaces and transparent to users. Experiments show that non-iterative algorithms running in MapReduce framework can be migrated to IncMR directly to get efficient incremental and continuous processing without any modification. IncMR is competitive and in all studied cases runs faster than that processing the entire data set.

关键词： Computational modeling Data processing Algorithm design and analysis Data models Programming Parallel processing Distributed databases

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Parallel Learning of Large-scale Multi-Label Classification Problems with Min-Max Modular LIBLINEAR

Parallel Learning of Large-scale Multi-Label Classification ...

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International Joint Conference on Neural Networks

作者： Yangyang Chen Bao-Liang Lu Hai Zhao Department of Computer Science and Engineering and MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University

ISBN: (纸本)9781467314886

The study on pattern classification trends to be towards large-scale, multi-label, and imbalanced problems. The amount of the data which need to be classified is typically dozens of millions and it keeps rapid increasing in recent years. Traditional pattern classification approaches are inefficient and even ineffective in this situation. In our previous work, we proposed a min-max modular (M~3) network for dealing with large-scale and imbalanced problems. M~3-network is a generalized modular learning framework and includes three main steps: decomposing a large-scale problem into several smaller independent sub-problems, learning these sub-problems in parallel, and combining the results of the sub-problems to generate a solution to the original problem. In this paper, we embed LIBLINEAR into M~3-network (M3-liblnear) to deal with large-scale, multi-label, and imbanlanced pattern classification problems. LIBLINEAR is a fast implementation of a linear classifier. M~3-Liblinear uses LIBLINEAR as a base classifier to learn each of the sub-problems. We compare M~3-Liblinear with Liblinear-cdblock on a large-scale Japanese patent classification problem. Experimental results demonstrate that M~3-Liblinear is superior to Liblinearcd-block in both training time and generalization performance.

关键词： Min-max modular network Liblinear-cdblock Multi-label problem Imbalanced problem Pattern recognition large sizes Modularity Parallel Lines original problem

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Long Duration Broadcast Authentication for Wireless Sensor Networks

Long Duration Broadcast Authentication for Wireless Sensor N...

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IEEE Vehicular Technology Conference

作者： Yongsheng Liu Jie Li Minyi Guo Graduate School of System and Information Engineering University of Tsukuba Tsukuba Science City 305-8573 Japan Shanghai Key Lab of Scalable Computing and Systems Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai P.R. China

ISBN: (纸本)9781467309899

In the resource constrained Wireless Sensor Networks (WSNs), the broadcast authentication is widely fulfilled by the emerging delayed authentication technique. The one level backward one-way key chain in the delayed authentication technique limits heavily the duration of the broadcast authentication. In this paper, we propose a long duration broadcast authentication scheme for WSNs. The proposed scheme uses a novel hierarchical key chain to extend the duration of broadcast authentication to be as long as the whole lifetime of WSNs. Moreover, the overhead of the proposed scheme is significantly reduced compared to that with one level key chain. Extensive experimental results show that the novel hierarchical key chain fully outperforms the one level key chain in terms of memory and computation.

关键词： Wireless Sensor WSNs chain fully Wireless sensor networks Authentication

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A fixed-point blind source extraction algorithm and its application to ECG data analysis

A fixed-point blind source extraction algorithm and its appl...

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

作者： Zhang, Hongjuan Wu, Zikai Ding, Shuxue Chen, Luonan Department of Mathematics Shanghai University Shanghai 200444 China Business School University of Shanghai for Science and Technology Shanghai 200093 China Department of Computer Software University of Aizu Tsuruga Ikki-Machi Aizu-Wakamatsu City Fukushima 965-8580 Japan Key Laboratory of Systems Biology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai 200031 China

ISBN: (纸本)9781467343985

Generalized autocorrelations and complexity pursuit are two recently developed methods for extracting interesting component from time series. They are the extensions of projection pursuit to time series data. In this paper, a fixed-point blind source extraction (BSE) algorithm for generalized autocorrelations and complexity pursuit of the desired signals is presented. The fixed-point algorithm inherits the advantages of the well-known FastICA algorithm of ICA, which is very simple, converges fast, and does not need to choose any learning step sizes. Numerical experiments on electrocardiogram (ECG) data indicate its better performance. © 2012 IEEE.

关键词： Electrocardiograms

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A novel online event analysis framework for micro-blog based on incremental topic modeling

A novel online event analysis framework for micro-blog based...

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13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed computing, SNPD 2012

作者： Ma, Huifang Wang, Bo Li, Ning Department of Computer Science Northwest Normal University Lanzhou Gansu 730070 China Department of Military Information Management Shanghai Branch PLA Nanjing Institute of Politics Shanghai 200433 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences 100190 Beijing China

ISBN: (纸本)9780769547619

In this paper, we present a scalable implementation of a topic modeling (Adaptive Link-IPLSA) based method for online event analysis, which summarize the gist of massive amount of changing tweets and enable users to explore the temporal trends in topics. This model also can simultaneously maintain the continuity of the latent semantics to better capture the time line development of events. With the help of this model, users can quickly grasp major topics in these twitters. The preliminary results show that our method leads to more balanced and comprehensive improvement for online event detection compared to benchmark approaches. Additionally our algorithm is computationally feasible in near real-time scenarios making it an attractive alternative for capturing the rapidly changing dynamics of microblogs. © 2012 IEEE.

关键词： Semantics

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Escape from infinite adaptive peak

Escape from infinite adaptive peak

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

作者： Xu, Song Jiao, Shuyun Jiang, Pengyao Yuan, Bo Ao, Ping Department of Computer Science and Engineering Shanghai Jiao Tong University 200240 Shanghai China Shanghai Center for Systems Biomedicine Key Laboratory of Systems Biomedicine of Ministry of Education Shanghai Jiao Tong University 200240 Shanghai China Department of Mathematics Xinyang Normal University 464000 Xinyang Henan China Department of Ecology and Evolution University of Chicago 1101 E 57th Street Chicago IL 60637 United States

ISBN: (纸本)9781467343985

We study the transition time between different meta-stable states in the continuous Wright-Fisher (diffusion) model. We construct an adaptive landscape for describing the system both qualitatively and quantitatively. When strong genetic drift and weak mutation generate infinite adaptive peaks, we calculate the expected time to escape from such peak states. We find a new way to analytically approximate the escape time, which extends the application of Kramer's classical formulae to the cases of non-Gaussian equilibrium distribution and bridges previous results in two limits. Our adaptive landscape, compared to the classical fitness landscape or other scalar functions, is directly related to system's middle-and-long-term dynamics and is self-consistent in the whole parameter space. Our work provides a complete description for the bi-stabilities in the present model. © 2012 IEEE.

关键词： Escape TRANSIT TIME parameter space methods Self tuning Genetic Drift DIFFUSION MODELS Infinite

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Chinese Coreference Resolution via Ordered Filtering 12

Chinese Coreference Resolution via Ordered Filtering

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Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

作者： Xiaotian Zhang Chunyang Wu Hai Zhao Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong UniversityMOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University

ISBN: (纸本)9781627484046

We in this paper present the model for our participation (BCMI) in the CoNLL-2012 Shared Task. This paper describes a pure rule-based method, which assembles different filters in a proper order. Different filters handle different situations and the filtering strategies are designed manually. These filters are assigned to different ordered tiers from general to special cases. We participated in the Chinese and English closed tracks, scored 51.83 and 59.24 respectively.

关键词： Coreference Resolution Filtration Filters Ordered Chinese philosophy Chinese Chinese art proper order paper

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Hybrid Rule-based Algorithm for Coreference Resolution 12

Hybrid Rule-based Algorithm for Coreference Resolution

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Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

作者： Heming Shou Hai Zhao Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong UniversityMOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University

ISBN: (纸本)9781627484046

This paper describes our coreference resolution system for the CoNLL-2012 shared task. Our system is based on the Stanford's dcore-f deterministic system which applies multiple sieves with the order from high precision to low precision to generate coreference chains. We introduce the newly added constraints and sieves and discuss the improvement on the o-riginal system. We evaluate the system using OntoNotes data set and report our results of average F-score 58.25 in the closed track.

关键词： Coreference Resolution Sieves sieving

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Adaptive rate-distortion prediction for multiple reference selection and inter-mode decision

Adaptive rate-distortion prediction for multiple reference s...

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13th Pacific-Rim Conference on Multimedia, PCM 2012

作者： Zhao, Tiesong Zhang, Yun Kwong, Sam Wang, Hanli Chen, Qian Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Department of Computer Science City University of Hong Kong Hong Kong Hong Kong Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China

ISBN: (纸本)9783642347771

To minimize Rate-Distortion (RD) cost in video coding, RD Optimization (RDO) technique is adopted, which also brings increasingly computational complexity in Motion Estimation (ME), multiple reference selection and mode decision. In this paper, a Gaussian model based adaptive RD cost prediction method is developed to jointly speed up multiple reference selection and inter-mode decision. Besides the ability of achieving good coding efficiency with much reduced computational power, our method is also with two major advantages. First, it can achieve robust performance, including computational complexity reduction and almost intact video quality, with a wide range of video sequences resolutions and even for various scene changes;second, it could be either individually used or combined with the other efficient mode decision algorithms, and in both cases, our method could achieve remarkable performance, which is revealed by exhaustive experimental results. © 2012 Springer-Verlag.

关键词： Image coding

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