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检索条件"任意字段=International Conference on Soft Computing and Pattern Recognition, SoCPaR 2009"

共 250 条记录，以下是91-100 订阅

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Improvement of hub strategy in robot soccer game

Improvement of hub strategy in robot soccer game

引用

international conference of soft computing and pattern recognition (socpar)

作者： Jie Wu Václav Snášel Eliška Ochodková Jan Martinovič Václav Svaton Ajith Abraham Department of Computer Science VŠB-Technical University of Ostrava Czech Republic Machine Intelligence Research Laboratories Scientific Network for Innovation and Research Excellence WA USA

The robot soccer game is full of challenging in the field of robot and artificial intelligence. Strategy is a kernel subsystem of robot soccer game. In our work, we present an approach to describe the strategies of the game, based on which a method to improve hub strategy is proposed. The experiment that eliminates the impact of external factors at mostly shows the effectiveness of strategic description and validity of our method.

关键词： Games Robot kinematics Joining processes pattern recognition Decision making Web pages

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A hybrid algorithm for segmentation of MRI images based on edge detection

A hybrid algorithm for segmentation of MRI images based on e...

引用

international conference of soft computing and pattern recognition (socpar)

作者： Moslem Taghizadeh Mahboobeh Hajipoor Imam Hossein University Tehran Iran Islamic Azad University Najafabad Branch Isfahan Iran

The main disadvantage of traditional global thresholding techniques is that they do not have an ability to exploit information of the characteristics of target images that they threshold. In this paper, we propose a new approach based on combination of modified p-tile and edge detection algorithms to have more accurate object segmentation. Using our proposed method, it is shown that almost all of our experiments on MRI images resulted to better object segmentation than using traditional methods.

关键词： Image edge detection Detectors Magnetic resonance imaging Shape Image segmentation pattern recognition Noise

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Parallel phrase matching for cloud based security services

Parallel phrase matching for cloud based security services

引用

international conference of soft computing and pattern recognition (socpar)

作者： Jose Kolenchery Digital Surgicals Inc. Austin USA

Phrase matching is a technique used to detect virus patterns, data leakage, SPAM, and embedded URLs in messages. Depending on the length of the phrases, the complexity of detecting them increases. Presented is an algorithm that can be implemented efficiently using GPU by reducing the copy costs. The algorithm creates k-grams using collision resistant hashing techniques and matches the k-grams against k-grams of previously known patterns. The comparison is made efficient by comparing fixed sized hash of words instead of the words themselves. It scales to be used in cloud based security services where millions of phrases must be examined per second. It uses the host processor to perform sequential operations such as tokenization and CRC computation to convert words into fixed size phrase terms. Phrases comprising of one or more phrase terms are generated and tested in a massively parallel CUDA environment.

关键词： Security Graphics processing unit Instruction sets Indexes pattern matching Kernel

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Web mining application in university library personalized search engine

Web mining application in university library personalized se...

引用

international conference of soft computing and pattern recognition (socpar)

作者： Jing Zhao Department of Management. Academy of Economic Trade Management Xianda College of Economics & Humanities Shanghai International Studies University China

The article examines web mining application in university library search engine. It primarily researches the technology that is personal usage records track in web usage mining. It also discusses how to establish a university library personalized search engine system. The system studies user identification, user profile, user's interest model and user interest extraction. The article explains various processing modules of university library personalized search engine system. It designs university library personalized search engine system. It finally verifies that web mining has effect on searching web page ranking in university library.

关键词： Search engines Educational institutions Libraries Vocabulary Web pages Web mining

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Detection of shilling attacks in collaborative filtering recommender systems

Detection of shilling attacks in collaborative filtering rec...

引用

international conference of soft computing and pattern recognition (socpar)

作者： Cong Li Zhigang Luo School of Computer National University of Defense Technology Changsha China

Collaborative filtering recommender systems are essentially information systems which are capable of combining the judgment of a large group of people to make personalized recommendations and thereby alleviate the so-called information overload problem. However,collaborative filtering recommender systems are generally vulnerable to shilling attacks. Attackers can inject carefully chosen profiles into recommender systems in order to bias the recommendation results to their benefits. This may lead to a significant negative impact on the robustness of the systems. The main contribution of this paper is to build a probabilistic model for attack detection in the framework of probabilistic generative model. Experimental results show that this model can effectively detect shilling attacks of typical types.

关键词： Probabilistic logic Recommender systems Collaboration Robustness Measurement Prediction algorithms pattern recognition

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Parameters-Optimized Multi-subswarms Particle Swarm Optimization

Parameters-Optimized Multi-subswarms Particle Swarm Optimiza...

引用

international conference of soft computing and pattern recognition (socpar)

作者： Yunyi Yan Yingying Hu Baolong Guo ICIE Institute of Electro-mechanical Engineering School Xidian University Xian China

Parameters-Optimized Multi-swarms Particle Swarm Optimization (POMS-PSO) is proposed in this paper. The POMS-PSO employs three subswarms totally, the C-swarm, r-subswarm and K-subswarm. The concept of parameter-optimization referred is realized by C-swarm to optimize the free parameters of the r- and K-subswarms using standard PSO. The problem-oriented optimization process is performed by r- and K-subswarm who take the advantage of r-selection and K-selection respectively. We assessed the performance of the POMS-PSO on a set of benchmark functions. The experimental result shows that POMS-PSO could help to optimize the evolution parameters and could improve the convergence precision.

关键词： Particle swarm optimization Optimization Benchmark testing Programming Convergence pattern recognition conferences

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High quality depth maps from stereo matching and ToF camera

High quality depth maps from stereo matching and ToF camera

引用

international conference of soft computing and pattern recognition (socpar)

作者： Jing Zhang Liang-Hao Wang Dong-Xiao Li Ming Zhang Institute of Information and Communication Engineering Zhejiang University China

Depth generation is a key technology in computer vision. Known methods mainly rely on stereo matching, or measuring devices like ToF camera. The ToF camera performs well in low-textured regions and repetitive regions where stereo matching fails. In contrast, stereo matching works better than ToF camera in textured regions. Based on their complementary characteristics, we introduce a method to combine ToF depth and stereo matching. In order to integrate their respective advantages, we measure their reliabilities and construct a new cost volume. Experiment results show that our fusion algorithm improves the accuracy and robustness, the generated depth map is much better than that obtained from an individual method.

关键词： Cameras Reliability Image color analysis Stereo vision Three dimensional displays Sensors pattern recognition

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Pedestrian detection based on merged cascade classifier

Pedestrian detection based on merged cascade classifier

引用

international conference of soft computing and pattern recognition (socpar)

作者： Tian Hong Wang Lixia Ding Xiaoqing Institute of Software Dalian Jiaotong University Dalian China Department of Electronic Engineering Tsinghua University Beijing China

Reliable pedestrian detection is an important problem in visual surveillance. This paper presents a combined method for pedestrian detection, which significantly improves the detection accuracy without degradation of the detection speed. Firstly, we create a table to mark foreground pixels by means of background difference for eliminating background interference areas. Secondly, Weighted Linear Regression Model embedded into cascade GAB is used for training weak classifier with parts model based on head-shoulder. Finally, two classifiers based on Haar-Like features and Shapelet features respectively fuse to detect pedestrian. The experimental results show that our method can boost the detection rate and reduce the false alarm with non-degradation of detection speed. Particularly, our detection mechanism performs well in the lower resolution and relative complex background situation.

关键词： Feature extraction Training IEEE Press conferences pattern recognition Computational modeling IEEE Computer Society

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DSW feature based Hidden Marcov Model: An application on object identification

DSW feature based Hidden Marcov Model: An application on obj...

引用

international conference of soft computing and pattern recognition (socpar)

作者： Zheng Liang Wang Taiqing Wang Shengjin Ding Xiaoqing State Key Laboratory of Intelligent Technology and Systems Department of Electronic Engineering Tsinghua University Beijing China

This paper proposes to perform palmprint identification with Hidden Markov Models (HMM). Palmprint identification, as an emerging biometric technology, has been extensively investigated in the last decade. Due to its low-price capture device, fast implementation speed and high accuracy, palmprint identification is very competitive in biometric research area. Currently, the majority of literatures focus on palm line extraction algorithms and coding schemes, with little attention on classifier design. In this paper, Down-sliding Window (DSW) technique is employed to create a highcorrelated feature sequence while palmprint is featured by simple down-sampled images. One-to-50 experiment demonstrates that HMM with single component and six states give the best overall performance 99.80%, which indicates the feasibility of HMMs for tasks in palmprint identification.

关键词： Hidden Markov models pattern recognition Feature extraction Error analysis Training Databases

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A new stochastic algorithm used to produce initial values for constrained optimization problems

A new stochastic algorithm used to produce initial values fo...

引用

international conference of soft computing and pattern recognition (socpar)

作者： Ziqiang Zhao Zhihua Cui Jianchao Zeng Xiaoguang Yue Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan China College of Computer and Information Southwest Forestry University Kunming China

In this paper, a new stochastic optimization algorithm is introduced to simulate the plant growing process. It employs the photosynthesis operator and phototropism operator to mimic photosynthesis and phototropism phenomenon. For the plant growing process, photosynthesis is a basic mechanism to provide the energy from sunshine, while phototropism is an important character to guide the growing direction. In our algorithm, each individual is called a branch, and the sampled points are regarded as the branch growing trajectory. Phototropism operator is designed to introduce the fitness function value, as well as phototropism operator is used to decide the growing direction. To test the performance, it is used to produce initial values for constrained optimization problems. Simulation results show this new algorithm increases the performance significantly when compared with method of randomly generating.

关键词： Optimization Educational institutions Vectors Particle swarm optimization Mathematical model Search problems pattern recognition

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