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2011 IEEE International Conference on Granular computing, GrC 2011

作者： Zhang, Bo Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science and Technology China University of Mining and Technology Xuzhou China

ISBN: (纸本)9781457703713

Cloud computing focuses on supporting high scalab.e and high availab.e parallel and distributed computing, based on the infrastructure built on top of large scale clusters which contain a large number of cheap PC servers, to process the huge amounts of data generated by Internet. As the core of cloud computing, Google's MapReduce programming model and Google File System (GFS) provide such computing power. Granular computing (GrC) is an objective world outlook and methodology. From the point of GrC, this paper surveys the Google's MapReduce programming model, analyses how to express its process of data granulation and computing more accurately and more strictly during the parallel and distributed computing. © 2011 IEEE.

关键词： MapReduce

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Fusion of polarimetric image using contourlet transform

Fusion of polarimetric image using contourlet transform

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2011 International Conference on Consumer Electronics, Communications and Networks, CECNet 2011

作者： Zong-Hu, He De-Xiang, Zhang Ling-Jun, Zhang Bao-Hong, Yuan Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei China Institute of Electrical Engineering and Automation Anhui University Hefei China

ISBN: (纸本)9781612844572

Contourlet transform is the combination of the multi-scale analysis and multi-directional analysis in processing high-dimensional signals and has better approximation precision and better sparse description. Firstly, Using the Contourlet transform, several polarimetric images can be decomposed into low-frequency coefficients and high-frequency coefficients with multi-scales and multi-directions. For the low-frequency coefficients, the average fusion method is used. For the each directional high frequency sub-band coefficients, the larger value of region variance information measurement is used to select the better coefficients for fusion. At last the fused image can be obtained by utilizing inverse transform for fused contourlet coefficients. Experimental results show that the proposed algorithm works better in preserving the edges and texture information compared with the traditional image fusion algorithms. © 2011 IEEE.

关键词： Contourlet transform

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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, BMEI 2011

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

ISBN: (纸本)9781424493524

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 realtime medical data processing. © 2011 IEEE.

关键词： Graphical user interfaces

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Adjoining tree-to-string translation

Adjoining tree-to-string translation

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49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011

作者： Liu, Yang Liu, Qun Lü, Yajuan Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing 100190 China

ISBN: (纸本)9781932432879

We introduce synchronous tree adjoining grammars (TAG) into tree-to-string translation, which converts a source tree to a target string. Without reconstructing TAG derivations explicitly, our rule extraction algorithm directly learns tree-to-string rules from aligned Treebank-style trees. As tree-to-string translation casts decoding as a tree parsing problem rather than parsing, the decoder still runs fast when adjoining is included. Less than 2 times slower, the adjoining tree-tostring system improves translation quality by +0.7 BLEU over the baseline system only allowing for tree substitution on NIST Chinese- English test sets. © 2011 Association for Computational Linguistics.

关键词： Trees (mathematics)

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Local regression model for automatic face sketch generation

Local regression model for automatic face sketch generation

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International Conference on Image and Graphics

作者： Ji, Naye Chai, Xiujuan Shan, Shiguang Chen, Xilin Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Graduate University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769545417

As one of the important artistic styles of portrait, sketch portrait has wide applications for both digital entertainment and law enforcement. In this paper, an automatic face sketch generation approach is presented by learning from photo-sketch pair examples. Specifically, the relationship between a face photo and its corresponding face sketch is learned on image patch level. By applying this relationship to the input face photo patch, we can infer the output face sketch patch by exploiting some regression techniques such as kNN, the Lasso and so on. Via our local regression model, we can synthesize an appealing sketch portrait from a given face photo in a few minutes. Experiments conducted on CUHK database have shown that our results are more compelling than previous methods especially in two respects: (1) our synthesized sketches preserve more identity information of the original face photo;(2) our synthesized sketches presents more pencil sketch texture. © 2011 IEEE.

关键词： Regression analysis

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Topic level sampling towards optimized locality sensitive vocabulary coding

Topic level sampling towards optimized locality sensitive vo...

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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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Salient region detection and segmentation for general object recognition and image understanding

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Science China(information Sciences) 2011年第12期54卷 2481-2490页

作者： HUANG TieJun 1 , TIAN YongHong 1 , LI Jia 2 & YU HaoNan 11 National Engineering lab.ratory for Video technology, School of Electrical Engineering and Computer Science, Peking University, Beijing 100871, China 2 key lab.ratory of intelligent information processing, institute of computing technology, Chinese Academy of Sciences, Beijing 100190, China 1. National Engineering Laboratory for Video Technology School of Electrical Engineering and Computer Science Peking University Beijing 100871 China2. Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

General object recognition and image understanding is recognized as a dramatic goal for computer vision and multimedia retrieval. In spite of the great efforts devoted in the last two decades, it still remains an open problem. In this paper, we propose a selective attention-driven model for general image understanding, named GORIUM (general object recognition and image understanding model). The key idea of our model is to discover recurring visual objects by selective attention modeling and pairwise local invariant features matching on a large image set in an unsupervised manner. Towards this end, it can be formulated as a four-layer bottom-up model, i.e., salient region detection, object segmentation, automatic object discovering and visual dictionary construction. By exploiting multi-task learning methods to model visual saliency simultaneously with the bottom-up and top-down factors, the lowest layer can effectively detect salient objects in an image. The second layer exploits a simple yet effective learning approach to generate two complementary maps from several raw saliency maps, which then can be utilized to segment the salient objects precisely from a complex scene. For the third layer, we have also implemented an unsupervised approach to automatically discover general objects from large image set by pairwise matching with local invariant features. Afterwards, visual dictionary construction can be implemented by using many state-of-the-art algorithms and tools availab.e nowadays.

关键词： object recognition image understanding visual saliency salient object segmentation visual dictionary

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Parallel outlier detection using KD-tree based on MapReduce

Parallel outlier detection using KD-tree based on MapReduce

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2011 3rd IEEE International Conference on Cloud computing technology and Science, CloudCom 2011

作者： He, Qing Ma, Yunlong Wang, Qun Zhuang, Fuzhen Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9780769546223

Distributed and Parallel algorithms have attracted a vast amount of interest and research in recent decades, to handle large-scale data set in real-world applications. In this paper, we focus on a parallel implementation of KD-Tree based outlier detection method to deal with large-scale data set. As one of the state-of-the-art outlier detection methods, KD-Tree based has been approved to be an effective algorithm. However, it still cannot process large-scale data set efficiently due to its serial implementation. Based on the current and powerful parallel programming framework - MapReduce, we propose to implement the parallel KD-Tree based outlier detection algorithm (e.g., PKDTree for short). Experimental results demonstrate the efficiency of PKDTree according to the evaluation criterions of scaleup, speedup and sizeup. © 2011 IEEE.

关键词： MapReduce

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A general framework for rule acquisition based on tolerance granular computing in IIDSs

A general framework for rule acquisition based on tolerance ...

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2011 IEEE International Conference on Granular computing, GrC 2011

作者： Zuqiang, Meng Zhongzhi, Shi Ke, Xu College of Computer Electronics and Information Guangxi University Nanning 530004 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781457703713

This paper systematically studies the problem of decision rule acquisition in inconsistent incomplete decision systems (IIDSs). First, a tolerance granular framework model based on tolerance granular computing is presented, which is suitable for variety types of decision rules in IIDSs;secondly, with the proposed model, a framework for acquiring all minimum decision rule sets for each type is given, which solves the problem of decision rule acquisition in IIDSs to a certain degree;finally, an example is given to show the efficiency of our framework. © 2011 IEEE.

关键词： Granular computing

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Streamline-based visualization of 3D explosion fields

Streamline-based visualization of 3D explosion fields

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2011 7th International Conference on Computational Intelligence and Security, CIS 2011

作者： Wang, Yi Zhang, Wenyao Ning, Jianguo State Key Laboratory of Explosion Science and Technology Beijing Institute of Technology Beijing China Beijing Lab. of Intelligent Information Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9780769545844

The visualization of explosion fields is an important issue in explosion science and technology. This paper presents a streamline-based method to visualize 3D explosion fields. Given the velocity data in a 3D explosion field, isosurfaces of the magnitude of velocity are firstly extracted. Seeds of streamlines are then uniformly distributed on the isosurfaces. And streamlines are generated with the placed seeds. By this way, the density of streamlines is controlled by a predefined value. When the isosurfaces and the density value are properly set, the coverage of streamlines can be sufficient. To reduce visual cluttering, a technique of line illumination is used to render streamlines. Moreover, a color coding technique is applied to visualize the magnitude of velocity and distinguish the distribution of media in 3D explosion fields. Test results show that the method proposed in this paper can achieve effective visualization of 3D explosion fields. The visual clarity and the spatial perception are improved in the final visualized images. © 2011 IEEE.

关键词： Explosions

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