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8th International Conference on information, Communications and Signal processing, ICICS 2011

作者： Chen, Jie Duan, Ling-Yu Li, Bing Ji, Rongrong Gao, Wen Institute of Digital Media School of Electronic Engineering and Computer Science Peking University Beijing China Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781457700309

We propose a novel locality sensitive vocabulary coding scheme to extract compact descriptors for low bit rate visual search. We employ Latent Dirichlet Allocation (LDA) to learn the topic vocabularies of lower dimension to generate compact descriptors. To deal with diverse datasets, LDA model is introduced to subdivide a dataset into groups of images with a topic model, where the code word distributions in each group produce coherent statistics from generative learning. Moreover, our empirical study has shown that the original Bag-of-Word (BoW) is sparse, and the occurrences of non-zero words is coherent within a topic. Our proposed topic-wise vocabulary learning yields a more compact yet discriminative codebook to search images. Given a query image, multiple topics are determined, which is fed into the topic vocabularies to generate more compact topical descriptor. Comparison experiments show our topic-wise locality sensitive vocabulary coding produces more compact and discriminative descriptors than the state-of-the-arts. © 2011 IEEE.

关键词： Statistics

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Merging Complex Networks

Merging Complex Networks

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The Seventh International Conference on Semantics,Knowledge,and Grids(第七届语义、知识与网格国际会议 SKG 20110)

作者： Xiaoping Sun Hai Zhuge Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences

In the cyber-physical society, networks are constructed for information transportation. Among them, power law networks with the scale free property are extensively found in self-organized systems. The dynamicity of the cyber-physical society drives large-scale networks keeping interacting and evolving. Several networks can be integrated or merged into one network during the evolving process of the whole cyber-physical society either because they share the same nodes or because one network is trying to connect to the other. A natural question is that in what way two or more networks will merge with each other so that their previous scale-free properties still hold. In this paper, we conducted a set of simulation experiments to study the effects of different merging processes on the degree distribution of merged networks. The result can be used to understand the merging process of complex networks in the cyber-physical society and also can be used to design an integration strategy for multiple networks.

关键词： Joining processes Complex networks Merging Extraterrestrial phenomena Topology Internet

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Mining dynamical frequent itemsets based on ant colony algorithm

Mining dynamical frequent itemsets based on ant colony algor...

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IEEE International Conference on Computer Science and Automation Engineering (CSAE)

作者： Chen, Shengbing Wang, Xiaofeng Wang, Xiaofang Key Lab of Network and Intelligent Information Processing Hefei University Hefei 230601 China Department of Computer Science and Technology Hefei University Hefei 230601 China Intelligent Computing Lab Institute of Intelligent Machines Chinese Academy of Sciences Hefei 230031 China Department of Computer Artillery Academy Hefei 230031 China

ISBN: (纸本)9781424487257

Mining frequent itemsets is a core problem in many data mining tasks, most existing works on mining frequent itemsets can only capture the long-term and static frequency itemsets, they do not suit the task whose frequent itemsets often change. Using the theory of ant colony algorithm, we proposed a new method for mining dynamical frequent itemset(called AC-MFI). The method considers the item of transaction as a node in the path, takes the itemset as a path, and takes each transaction as a foraging behavior. According to the pheromone updating policy of ant colony algorithm, AC-MFI mines dynamical frequent itemsets from transaction data stream. Experiment results show that the method is valid and practicable. © 2011 IEEE.

关键词： Data mining

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New image coding scheme with hierarchical representation and adaptive interpolation

New image coding scheme with hierarchical representation and...

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2011 IEEE Visual Communications and Image processing, VCIP 2011

作者： Zhang, Xinfeng Xiong, Ruiqin Ma, Siwei Gao, Wen Institute of Digital Media Peking University Beijing 100871 China Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University Chinese Academy of Sciences Beijing 100049 China

ISBN: (纸本)9781457713200

In this paper, we propose a new image coding scheme which combines the advantage of hierarchical (i.e. multi-resolution) representation, adaptive interpolation and rate-distortion optimization capability of block-based coding. We divide the coding process into two layers by partitioning the image pixels into four groups with chessboard structure. In the first layer, pixels in one of these partitions are encoded and reconstructed using the state-of-the-art coding scheme. In the second layer, directional adaptive interpolation is employed to predict and code the pixels in the remaining three partitions. Joint mode decision is performed for the co-located macroblocks of these three partitions. Skip mode is introduced to save coding bits for blocks where the interpolation process works very well. Experimental results demonstrate that the proposed coding scheme achieves very promising performance. © 2011 IEEE.

关键词： Image coding

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Automatic Construction of RSM Based on XML

Automatic Construction of RSM Based on XML

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The Seventh International Conference on Semantics,Knowledge,and Grids(第七届语义、知识与网格国际会议 SKG 20110)

作者： Lei He Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Beijing，China

A Resource Space Model is a semantic model to organize, locate and operate Web resources in a multidimensional resource space. It’s easy for users to understand the resource space and locate resources in it because a resource space is constructed based on the classification semantics. In general, resource spaces models are manually designed and constructed based on domain knowledge and resource analysis. Human factors, such as personal opinions, knowledge level and design skill, will influence the design result of a resource space. To reduce the difficulties of the manual design and ease the designing process, this work studies the issues of automated creation of a resource space and proposes a general method to automatically construct resource spaces from XML files.

关键词： XML Semantics Finite element methods Data models Computational modeling Peer to peer computing Design methodology

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An intelligent load balancing algorithm towards efficient cloud computing

An intelligent load balancing algorithm towards efficient cl...

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2011 AAAI Workshop

作者： Xu, Yang Wu, Lei Guo, Liying Chen, Zheng Yang, Lai Shi, Zhongzhi Agent-based Cooperative System Lab School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu SC 611731 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781577355243

MapReduce provided a novel computing model for complex job decomposition and sub-tasks management to support cloud computing with large distributed data sets. However, its performance is significantly influenced by the working data distributions over those data sets. In this paper, we put forward a novel model to balance data distribution to improve cloud computing performance in data-intensive applications, such as distributed data mining. By extending the classic MapReduce model with an agent-aid layer and abstracting working load requests for data blocks as tokens, the agents can reason from previously received tokens about where to send other tokens in order to balance the working tasks and improve system performance. Our key contribution lies in building an efficient token routing algorithm in spite of agents' unknowing to the global state of data distribution in cloud. We also built a prototype of our system, and the experimental results show that our approach can significantly improve the efficiency of cloud computing. Copyright © 2011, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： MapReduce

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Exploring heterogeneous semantic data for topic-specific crawling and search

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2011年第7期5卷 335-349页

作者： Yang, Kun Huang, Rui Lin, Fen Shi, Zhongzhi Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences 100190 Beijing China National Institute of Metrology 100013 Beijing China

This paper explores heterogeneous semantic data in Web 1.0, Semantic Web and Web 2.0 for topicspecific crawling and search. A statistical Semantic Association Model (SAM) is proposed to support semantic interoperability among four different models of thesauruses, categories, ontologies, and folksonomies. Based on this model, a focused crawling and semantic search framework is developed. In focused crawling of potentially related textual and semantic data, URLs are ordered before crawling and irrelevant Web pages are filtered out after crawling according to SAM-based semantic relevance ranking. In order that the retrieved results are more semantically related to the user queries, approaches of SAM-based semantic query expansion and meta-search result aggregation are designed. Experiments show that the proposed model and framework effectively integrates both keyword data and heterogeneous semantic data for topic-specific crawling and search.

关键词： Semantic Web

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A new regression method based on SVM classification

A new regression method based on SVM classification

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2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Dong, Yi Cheng, Wei Li, Shengfeng Institute of Applied Mathematics Bengbu College Bengbu China School of Management Hefei Univ. of Technology Hefei China Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei China Anhui Vocational College of Electronics and Information Technology Bengbu China

ISBN: (纸本)9781612841816

SVM (Support Vector Machines) is a novel algorithm of machine learning which is based on SLT (Statistical Learning Theory). It can solve the problem characterized by nonlinear, high dimension, small sample and local minimizing perfectly. For non-linear problem, the forecasting technique of FCTR (First classification, then regression) was proposed, based on the classification approach of SVM and has carried on the simulation experiment. The experiment shows that the fitting value which obtains using the return to first would be more precise than directly. Using this method to food production forecast, its accuracy is superior to other production forecasting methods. © 2011 IEEE.

关键词： Support vector machines

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A Survey on the Resource Space Model

A Survey on the Resource Space Model

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The Seventh International Conference on Semantics,Knowledge,and Grids(第七届语义、知识与网格国际会议 SKG 20110)

作者： Jingqiang Chen Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 P.R.China

This paper surveys research on the Resource Space Model RSM. RSM is a classification-based, multi-dimensional and content-based space model for efficiently and effectively managing various resources. As a non-relational data model, it has a rather complete theoretical basis and has significant applications in faceted search and the future cyber-physical society. Applications in picture resources and email resources are introduced.

关键词： Electronic mail Semantics Computational modeling Peer to peer computing Yttrium XML Data models

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DSMS in Ubiquitous-Healthcare: A Borealis-based Heart Rate Variability Monitor

DSMS in Ubiquitous-Healthcare: A Borealis-based Heart Rate V...

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2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

作者： Xiaorui Jiang Jinwook Choi Sooyoung Yoo Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of S Department of Biomedical Engineering Seoul National University Seoul Korea

With tremendous research progress in biomedical sensors and sensor networks, there is an increasingly need for employing new data processing technologies that are capable of online analysis of the streaming medical sensor data, which is a typical health monitoring scenario. This paper describes using the data stream management system (DSMS) in developing ubiquitous health monitoring application. We propose the system architecture suitable for simultaneously processing streaming data from heterogeneous sources and performing different monitoring tasks planned by clinicians. A pilot heart rate variability (HRV) monitor with a graphical user interface is developed based on Borealis and several tasks are implemented, including monitoring Rmssd, MeanHR (mean heart rate), and pNN50. Results of the test runs in the lab environment show the usefulness and potential of DSMS in performing intelligent real-time medical data processing.

关键词： Data Stream Management System Heart Rate Variability Ubiquitous Healthcare Real-Time Health Monitoring

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