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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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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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A scalab.e parallel ray tracing algorithm for satellite imagery

A scalable parallel ray tracing algorithm for satellite imag...

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IEEE International Conference on Computer Research and Development

作者： Li, Yu-Gang Zhao, Kun Huang, Yu-Qing Qiu, Zhen-Ge Liu, Zhi-Yong Beijing Lab. of Intelligent Information Technology School of Computer Science BIT Beijing 100081 China Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100081 China Institute of Computing Technology Chinese Academy Sciences Beijing China

ISBN: (纸本)9781612848372

Ray-tracing, can produce high-quality images, however, the use of ray-tracing has been limited due to its high demands on computational power and memory bandwidth, especially in the case of satellite imagery. In this paper, we propose a scalab.e parallel ray tracing algorithm of satellite imagery on a cluster of multi-core architecture. The algorithm combines demand-driven and data-driven models in order to reduce communication on the cost of maintaining redundant data. In order to make the most of computer's parallelism and increase computational efficiency, it combines two levels of parallelisms, the TLP parallelism brought by the many core architecture and the inter-node parallelism via MPI and OpenMP. Experiment results show that the algorithm is highly scalab.lity. © 2011 IEEE.

关键词： Satellite imagery

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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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The improved non-negative matrix factorization algorithm for document clustering

The improved non-negative matrix factorization algorithm for...

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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： Zhao, Weizhong Ma, Huifang He, Qing Shi, Zhongzhi College of Information Engineering Xiangtan University Hunan 411105 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China College of Mathematics and Information Northwest Normal University Gansu China

ISBN: (纸本)9781612841816

Non-negative Matrix Factorization (NMF) is one latest presented approach for obtaining document clusters, which aimed to provide a minimum error non-negative representation of the term-document matrix. In this paper, we have extended the classical NMF approach by imposing sparseness constraints explicitly. The new model can learn much sparser matrix factorization. Also, an objective function is defined to impose the sparseness constraint, in addition to the non-negative constraint. Experimental results on real-world document datasets show that the proposed method can treat document clustering effectively and efficiently. © 2011 IEEE.

关键词： Non-negative matrix factorization

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Combining supervised and unsupervised models via unconstrained probabilistic embedding

Combining supervised and unsupervised models via unconstrain...

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22nd International Joint Conference on Artificial Intelligence, IJCAI 2011

作者： Ma, Xudong Luo, Ping Zhuang, Fuzhen He, Qing Shi, Zhongzhi Shen, Zhiyong Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Hewlett Packard Labs. China China Graduate University of Chinese Academy of Sciences China

ISBN: (纸本)9781577355120

Ensemble learning with output from multiple supervised and unsupervised models aims to improve the classification accuracy of supervised model ensemble by jointly considering the grouping results from unsupervised models. In this paper we cast this ensemble task as an unconstrained probabilistic embedding problem. Specifically, we assume both objects and classes/clusters have latent coordinates without constraints in a D-dimensional Euclidean space, and consider the mapping from the embedded space into the space of results from supervised and unsupervised models as a probabilistic generative process. The prediction of an object is then determined by the distances between the object and the classes in the embedded space. A solution of this embedding can be obtained using the quasi-Newton method, resulting in the objects and classes/clusters with high co-occurrence weights being embedded close. We demonstrate the benefits of this unconstrained embedding method by three real applications.

关键词： Newton-Raphson method

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Motion vehicles tracking in intelligent transportation visual surveillance systems

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Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and technology 2012年第SUPPL.2期36卷 216-222页

作者： Wu, Lin-Feng Xiong, Gang Qian, Shou-Yi Xie, Li Zhejiang Provincial Key Lab. of Information Network Technology Department of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Cloud Computing Industrial Technology Innovation and Incubation Center Dongguan Research Institute of CASIA Chinese Academy of Sciences Dongguan 523808 China Wenzhou Research Institute of Electronics and Information Wenzhou 325003 China

In terms of the difficulty of vehicle tracking in complex environment of the visual surveillance system, an object tracking algorithm is proposed for the applications in practical visual surveillance systems for intelligent traffic. A block-based Gaussian mixture background modeling method for object detection is presented to reduce the computational complexity of moving vehicle object abstraction. An adaptive tracking algorithm fused with color features and texture features is described to better adapt the traffic scene variation. The experimental results show that the proposed algorithm can effectively deal with the complex urban traffic conditions and the tracking performance is better than the conventional particle filter method and single feature based non-adaptive object tracking method.

关键词： Tracking (position)

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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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Data model driven architecture (DMDA)

Data model driven architecture (DMDA)

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4th International Workshop on Advanced Computational Intelligence, IWACI 2011

作者： Chen, Chen Chen, Xueguang Liu, Hong Institute of Systems Engineering Huazhong University of Science and Technology Wuhan 430074 China Key Lab. for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781612843735

Based on the current development of Model Driven Architecture (MDA) in Enterprise information System (EIS), the paper proposes a DMDA, a new development architecture to improve EIS development speed and quality. The basic idea of the DMDA is to take advantage of formal description, decomposition and re-use on EIS development process to let computer understand development demands of developers and then consequently generate some business models having nothing to do with specific technical realization, combine with specific technical basic platform to finally generate the EIS meeting actual demands based on data model. The practice proves the architecture is capable of simplifying EIS development difficulty, expediting application and development speed, improve development quality and achieve the rapid development purpose. © 2011 IEEE.

关键词： Software design

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Robust human detection with low energy consumption in visual sensor network

Robust human detection with low energy consumption in visual...

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2011 7th International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2011

作者： Fu, Huiyuan Ma, Huadong Liu, Liang Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications Beijing 100876 China Beijing Lab. of Intelligent Information Technology Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9780769546100

In this paper, we try to address the difficult problem of detecting humans robustly with low energy consumption in the visual sensor network. The proposed method contains two parts: one is an ESOBS (Enhanced Self-Organizing Background Subtraction) based foreground segmentation module to obtain active areas in the observed area from the visual sensor;the other is a HOG (Histograms of Oriented Gradients) based detection module to detect the appearance shape from the foreground areas. Moreover, we create a large pedestrian dataset according to the specific scene in visual sensor networks. Numerous experiments are conducted. The experimental results show the effectiveness of our method. © 2011 IEEE.

关键词： Energy utilization

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