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检索条件"任意字段=Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition"

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Semi-supervised geometric mean of Kullback-Leibler divergences for subspace selection

Semi-supervised geometric mean of Kullback-Leibler divergenc...

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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： Chen, Si-Bao Wang, Hai-Xian Zhang, Xing-Yi Luo, Bin Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230039 China

ISBN: (纸本)9781612841816

Subspace selection is widely adopted in many areas of pattern recognition. A recent result, named maximizing the geometric mean of Kullback-Leibler (KL) divergences of class pairs (MGMD), is a successful method for subspace selection, which can significantly reduce the class separation problem. However, in many applications, labeled data are very limited while unlabeled data can be easily obtained. the estimation of divergences of class pairs is unstable using inadequate labeled data. To take advantage of unlabeled data for subspace selection, semi-supervised MGMD (SSMGMD) is proposed using graph Laplacian as normalization. Quasi-Newton method is adopted to solve the optimization problem. Experiments on synthetic data and real image data show the validity of SSMGMD. © 2011 IEEE.

关键词： Newton-Raphson method

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Reaching near neighbors with far and random proxies

Reaching near neighbors with far and random proxies

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2011 8th international conference on Electrical Engineering, computing Science and Automatic Control, CCE 2011

作者： Chávez, Edgar Ludueña, Veronica Reyes, Nora Roggero, Patricia Universidad Michoacana Morelia Mexico Departamento de Informática Universidad Nacional de San Luis Argentina

ISBN: (纸本)9781457710117

Proximity searching is an algorithmic abstraction covering a large number of applications in areas such as machine learning, statistics, multimedia information retrieval, computer vision and pattern recognition, to name a few. the algorithmic problem consist in preprocessing a set of objects to quickly find the objects near a given query. One of the nicest algorithmic constructions in the proximity searching literature is the Spatial Approximation Tree (SAT), built with the primary design goal of approximating to the query spatially instead of using a divide and conquer approach. A key aspect in building the SAT is the order of insertion of nodes in the tree. In the plain version the nodes are inserted in increasing order of distance to the root, and this order is recursively used in the construction. In this paper we introduce the SAT + which generalizes the SAT by using an arbitrary insertion order. We tested two alternative insertion strategies improving the efficiency of the SAT at searching time. © 2011 IEEE.

关键词： pattern recognition

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DSWFP: Efficient mining of weighted frequent pattern over data streams

DSWFP: Efficient mining of weighted frequent pattern over da...

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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： Wang, Jie Zeng, Yu School of Management Capital Normal University Beijing 100089 China Beijing Computing Center Beijing 100005 China

ISBN: (纸本)9781612841816

By considering different weights of items, weighted frequent pattern (WFP) mining can find more important frequent patterns. However previous WFP algorithms are not suitable for continuous, unbounded and high-speed data streams mining for they need multiple database scans. In this paper, we present an efficient algorithm DSWFP, which is based on sliding window and can discover important frequent pattern from the recent data. DSWFP has three new characters, including a new refined weight definition, a new proposed data structure and two pruning strategies. Experimental studies are performed to evaluate the good effectiveness of DSWFP. © 2011 IEEE.

关键词： Data mining

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Leveraging Data-Structure Semantics for Efficient Algorithmic Parallelism 11

Leveraging Data-Structure Semantics for Efficient Algorithmi...

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8th ACM international conference on computing Frontiers (CF)

作者： Cledat, Romain Ravichandran, Kaushik Pande, Santosh Georgia Inst Technol Coll Comp Sch Comp Sci Atlanta GA 30332 USA

ISBN: (纸本)9781450306980

Irregular or pointer-based structures such as graphs and trees are commonly used in algorithms dealing with sparse data. Given their reliance on pointers, these algorithms are difficult to analyze and the structure of their memory accesses is obfuscated which makes the extraction of parallelism difficult. In this work, we present a framework that is capable of reasoning about the semantics of the dynamic data footprints of operations to determine their potential overlap. We leverage the knowledge the programmer has about access patterns for the algorithm but is currently unable to express. this knowledge allows our runtime to make either a parallelization decision or throttle concurrency to improve performance in Software Transactional Memories (STMs) [6]. Our framework relies on programmer-supplied predicates that are appropriately evaluated at runtime and utilized to probabilistically assert certain properties about data footprints. We present simple abstractions and a low-overhead runtime to support our framework. We demonstrate our work by parallelizing a graph-coloring benchmark and by improving the transactional performance of benchmarks from the STAMP suite.

关键词： Software Transactional Memories Irregular Algorithms Access pattern Semantics

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proceedings - 2011 IEEE international conference on High Performance computing and Communications, HPCC 2011 - 2011 IEEE international Workshop on Future Trends of Distributed computing Systems, FTDCS 2011 - Workshops of the 2011 international conference on Ubiquitous Intelligence and computing, UIC 2011 - Workshops of the 2011 international conference on Autonomic and Trusted computing, ATC 2011

Proceedings - 2011 IEEE International Conference on High Per...

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13th IEEE international Workshop on FTDCS 2011, the 8th international conference on ATC 2011, the 8th international conference on UIC 2011 and the 13th IEEE international conference on HPCC 2011

ISBN: (纸本)9780769545387

the proceedings contain 142 papers. the topics discussed include: distributed caching strategies in peer-to-peer systems;a power-aware based storage architecture for high performance computing;a distributed reconfigurable active SSD platform for data intensive applications;a parallel processing scheme for large-size sliding-window applications;algebraic models for the cube connected cycles and shuffle exchange graphs;a high-performance and energy-efficient virtually tagged stack cache architecture for multi-core environments;providing quality of science in volunteer computing;an effective dynamic scheduling runtime and tuning system for heterogeneous multi and many-core desktop platforms;on the social aspects of personalized ranking for web services;stable adaptive work-stealing for concurrent multi-core runtime systems;rule pattern parallelization of packet filters on multi-core environments;and memory-intensive applications on a many-core processor.

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Video Character recognition through Hierarchical Classification

Video Character Recognition Through Hierarchical Classificat...

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11th international conference on Document Analysis and recognition (ICDAR)

作者： Shivakumara, Palaiahnakote Trung Quy Phan Lu, Shijian Tan, Chew Lim Natl Univ Singapore Sch Computing Singapore 117548 Singapore Inst Infocomm Res Singapore Singapore

ISBN: (纸本)9780769545202

We present a new video character recognition method based on hierarchical classification. In the first step, we propose a method for character segmentation of the text line detected by the text detection method. the segmentation algorithm uses dynamic programming to find least-cost paths in the gray domain to identify the spaces between characters. For the segmented characters, we get a Canny edge image as input for the character recognition step. We introduce hierarchical classification based on voting criteria with structural features to classify 62 character classes into different smaller classes. We divide the perimeter of a character into 8 segments according to 8 directions at the centroid. then the shape of each segment is studied to recognize the characters based on distances between the centroid and end points, and distances between the midpoint and end points. Our experiments on 1462 characters of upper case, lower case and numerals shows that 10% samples per class for training is enough to obtain 94.5% recognition accuracy. the dataset is chosen from TRECVID database of 2005 and 2006.

关键词： Structural features Hierarchical classification Invariant features Confusion matrix Video character recognition

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Dictionary Learning in Texture Classification

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8th international conference on Image Analysis and recognition (ICIAR) / 2nd international conference on Autonomous and Intelligent Systems (AIS)

作者： Gangeh, Mehrdad J. Ghodsi, Ali Kamel, Mohamed S. Univ Waterloo Dept Elect & Comp Engn Pattern Anal & Machine Intelligence PAMI Lab 200 Univ Ave W Waterloo ON N2L 3G1 Canada Univ Waterloo Dept Statist & Actuarial Sci Waterloo ON N2L 3G1 Canada

ISBN: (纸本)9783642215926;9783642215933

Texture analysis is used in numerous applications in various fields. there have been many different approaches/techniques in the literature for texture analysis among which the texton-based approach that computes the primitive elements representing textures using k-means algorithm has shown great success. Recently, dictionary learning and sparse coding has provided state-of-the-art results in various applications. With recent advances in computing the dictionary and sparse coefficients using fast algorithms, it is possible to use these techniques to learn the primitive elements and histogram of them to represent textures. In this paper, online learning is used as fast implementation of sparse coding for texture classification. the results show similar to or better performance than texton based approach on CUReT database despite of computation of dictionary without taking into account the class labels.

关键词： Dictionary learning matrix factorization sparse coding texture classification

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An intelligent real-time odor monitoring system using a pattern extraction algorithm

An intelligent real-time odor monitoring system using a patt...

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9th IEEE Int. Conf. on Dependable, Autonomic and Secure Comput., DASC 2011, incl. 9th Int. Conf. on Pervasive Intelligence and computing, PICom 2011, 9th Int. Symp. on Embedded computing, EmbeddedCom 2011, 1st Int. Conf. on Cloud and Green Comput.CGC

作者： Kima, Eungyeong Lee, Seok Lee, Taikjin Shin, Beom Ju Lee, Jungho Byun, Young Tae Kim, Hyung Seok Hwarangno 14-gil 5 Seongbuk-Gu Seoul Korea Republic of Department of Information and Communication Engineering Sejong University 98 Gunja-Dong Gwangjin-Gu Seoul Korea Republic of

ISBN: (纸本)9780769546124

this study proposes an intelligent real-time odor monitoring system for monitoring odor problems, a new type of environmental problems, in real-time and for managing harmful substances. this system minimizes the measurement error of individual sensors by building a gas sensor array integrating 8 sensors, and applies a pattern recognition algorithm revised for accurate data analysis. the revised pattern recognition algorithm evaluates the similarity of patterns by combining ANN (Artificial Neural Networks) in testing the similarity and fitness of GA (Genetic Algorithm) in order to enhance the reliability of harmful gas pattern extraction. Moreover, the proposed system applies PCA (Principal Component Analysis) for the clustering of each gas pattern. What is more, this study designs a pattern matching algorithm and compares with data in the built DB in order to identify output malodorous substances. In addition, the outcomes are evaluated through the comparison of the ANN, GA and proposed ANN-GA algorithms. As the proposed system can enhance the reproducibility, reliability and selectivity of odor sensor output, it is expected to be applicable to diverse environmental problems including air pollution. © 2011 IEEE.

关键词： Genetic algorithms

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Developing a Secure Distributed OSGi Cloud computing Infrastructure for Sharing Health Records

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8th international conference on Image Analysis and recognition (ICIAR) / 2nd international conference on Autonomous and Intelligent Systems (AIS)

作者： Mohammed, Sabah Servos, Daniel Fiaidhi, Jinan Lakehead Univ Dept Comp Sci Thunder Bay ON P7B 5E1 Canada

ISBN: (纸本)9783642215377;9783642215384

Cloud computing has become an emerging computing paradigm which brings new opportunities and challenges to overcome. While the cloud provides seemingly limitless scalability and an alternative to expensive data center infrastructure, it raises new issues in regards to security and privacy as processing and storage tasks are handed over to third parties. this article outlines a Distributed OSGi (DOSGi) architecture for sharing electronic health records utilizing public and private clouds which overcomes some of the security issues inherent in cloud systems. this system, called HCX (Health Cloud eX-change), allows for health records and related healthcare services to be dynamically discovered and interactively used by client programs accessing services within a federated cloud. A basic prototype is presented as proof of concept along with a description of the steps and processes involved in setting up the underlying security services. Several improvements have been added to HCX including a Role-Based Single-Sign-On (RBSSO).

关键词： Cloud computing Distributed OSGi Cloud Security Electronic Healthcare Records

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three-dimensional numerical simulation of human nasal cilia in the periciliary liquid layer

Three-dimensional numerical simulation of human nasal cilia ...

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IASTED international conference on Biomedical Engineering, Biomed 2011

作者： Jayathilake, Pahala Gedara Vinh, Le Duc Lung, Lee Wang Pueh, Lee Heow Cheong, Khoo Boo Department of Mechanical Engineering National University of Singapore 10 Kent Ridge Crescent Singapore 119260 Singapore Institute of High Performance Computing 1 Fusionopolis Way 16-16 Connexis Singapore 138632 Singapore Singapore-MIT Alliance National University of Singapore 4 Engineering Drive 3 Singapore 117576 Singapore

ISBN: (纸本)9780889868663

A three-dimensional numerical model is developed to simulate the human nasal cilia motion in the periciliary liquid (PCL) layer. the governing equations are solved using the immersed boundary method combined with the projection method. the cilia beating pattern is imposed as an input for the calculation. the ciliary forces are computed by the direct forcing method. the present preliminary results are consistent with other reported results for the average velocity of the PCL and its linear dependency on the cilia beat frequency.

关键词： Liquids

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