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

共 257 条记录，以下是151-160 订阅

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Modeling Permutations for Genetic Algorithms

Modeling Permutations for Genetic Algorithms

引用

international conference of soft computing and pattern recognition (socpar)

作者： Pavel Krömer Jan Platoš Václav Snášel Department of Computer Science VŠB - Technical University of Ostrava Ostrava-Poruba Czech Republic

Combinatorial optimization problems form a class of appealing theoretical and practical problems attractive for their complexity and known hardness. They are often NP-hard and as such not solvable by exact methods. Combinatorial optimization problems are subject to numerous heuristic and metaheuristic algorithms, including genetic algorithms. In this paper, we present two new permutation encodings for genetic algorithms and experimentally evaluate the influence of the encodings on the performance and result of genetic algorithm on two synthetic and real-world optimization problems.

关键词： Genetic algorithms Encoding Optimization methods Computer science Heuristic algorithms Traveling salesman problems Genetic programming Genetic mutations Testing pattern recognition

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Toward a Solution to Multi-agent Credit Assignment Problem

Toward a Solution to Multi-agent Credit Assignment Problem

引用

international conference of soft computing and pattern recognition (socpar)

作者： Zahra Rahaie Hamid Beigy Department of Computer engineering Sharif University of Technology Tehran Iran

Multi-agent systems (MAS) try to formulate dynamic world which surround human being in every aspect of his life. One of the important challenges encountered in multi-agent systems is the credit assignment problem, simply means distributing the result of the work of a group of agents, such that every agent will have the capability of individual learning. This paper presents the result of a solution suggested for multi-agent credit assignment problem. With the help of observing history of credit assignment in the environment, we will understand what actions are reward-deserving. Results are reported on a multi-agent domain, addition agents.

关键词： Design optimization Printing Integer linear programming Constraint optimization Testing Containers pattern recognition Computer applications Laboratories Computer industry

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An Application of SMS Technology for Customer Service Centre

An Application of SMS Technology for Customer Service Centre

引用

international conference of soft computing and pattern recognition (socpar)

作者： Ariff Idris Abd. Samad Hasan Basari Nur Hanisah Zubir Faculty of Information and Communication Technology Universiti Teknikal Malaysia Melaka Durian Tunggal Malacca Malaysia

SMS technology is designed originally as a communication tool between a service provider and its users. However in the last few years this technology has allowed users to communicate among them. The vast growth of mobile technology is also one of the elements that help in utilizing this technology. Users are able to get very fast information anywhere. In order to utilize this technology, CeS-LAP is developed to improve the current services provided by Lembaga Air Perak (LAP). This system is aimed at providing better complaint system, customer information system and expectantly an alternative way for customer to check their unpaid bill.

关键词： Customer service Design optimization Printing Integer linear programming Constraint optimization Testing Containers pattern recognition Computer applications Laboratories

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Mining Up-to-Date Knowledge Based on Tree Structures

Mining Up-to-Date Knowledge Based on Tree Structures

引用

international conference of soft computing and pattern recognition (socpar)

作者： Chun-Wei Lin Tzung-Pei Hong Wen-Hsiang Lu Department of Computer Science and Information Engineering National Cheng Kung University Tainan County Taiwan

In the past, the up-to-date patterns is proposed to mine the frequent itemsets within its corresponding lifetime. This hybrid method is based on the Apriori-like approach, which requests high computational cost and memory requirement. In this paper, the up-to-date pattern tree (UDP tree) is proposed to keep the up-to-date patterns in a tree structure. The experimental results show that the proposed approach has a better performance than the level-wise up-to-date algorithm.

关键词： Tree data structures Data mining Itemsets Transaction databases Association rules Computer science Knowledge engineering pattern recognition Computational efficiency Frequency

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Ensemble for Solving Quadratic Assignment Problems

Ensemble for Solving Quadratic Assignment Problems

引用

international conference of soft computing and pattern recognition (socpar)

作者： L. Q. Song M. H. Lim P. N. Suganthan V. K. Doan School of Electrical and Electronic Engineering Nanyang Technological University Singapore

In this paper, we present a scheme whereby diverse optimization algorithms are incorporated within a framework of selective reproduction according to fitness. By forming an ensemble of several populated optimization algorithms, it is shown that the exploitative traits can be extended across several search algorithms. Results of simulations on several difficult quadratic assignment problem benchmarks based on a fixed computational time budget have shown that the ensemble scheme convincingly outperforms the individual constituent optimization algorithms.

关键词： Design optimization Printing Integer linear programming Constraint optimization Testing Containers pattern recognition Computer applications Laboratories Computer industry

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An Intelligent Real-Time Communication Assistant for the Disabled

An Intelligent Real-Time Communication Assistant for the Dis...

引用

international conference of soft computing and pattern recognition (socpar)

作者： Bee Theng Lau Tran Cao Thai Raymond Chiong School of Computing & Design Swinburne University of Technology Kuching Sarawak Malaysia

This research focuses on developing a real-time communication assistant for the disabled utilizing the biometric information of their facial features. Our targeted community is that with communication disabilities. While communicating effectively is a problem for this community, they have facial expressions and incomprehensible speech that can be interpreted to associate with their needs or requests. Thus, we utilize the real-time face detection technique to capture their facial expressions. This paper focuses mainly on discussion of the performance of real-time biometric information detection in our prototype, the EmoCom. EmoCom can also serve as a monitoring system to track the activities of the disabled with limited physical mobility.

关键词： Shape Curve fitting Phase detection Image segmentation Iterative algorithms pattern recognition Information science Data mining Computer graphics Shearing

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Offline Handwritten Signature Identification and Verification Using Contourlet Transform

Offline Handwritten Signature Identification and Verificatio...

引用

international conference of soft computing and pattern recognition (socpar)

作者： Muhammad Reza Pourshahabi Mohamad Hoseyn Sigari Hamid Reza Pourreza Machine Vision Research Laboratory Ferdowsi University of Mashhad Mashhad Iran

In this paper, a new offline handwritten signature identification and verification system based on contourlet transform is proposed. Contourlet transform (CT) is used as feature extractor in proposed system. Signature image is enhanced by removing noise and then it is normalized by size. After preprocessing stage, by applying a special type of contourlet transform on signature image, related contourlet coefficients are computed and feature vector is created. Euclidean distance is used as classifier. One of the most important features of proposed system is its independency from signer's nationality. Experimental results show that proposed system has so reliable results for both Persian and English signatures.

关键词： Design optimization Printing Integer linear programming Constraint optimization Testing Containers pattern recognition Computer applications Laboratories Computer industry

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A Study on TODO Task Management at Home

A Study on TODO Task Management at Home

引用

international conference of soft computing and pattern recognition (socpar)

作者： Sayaka Ajikata Ichiro Kobayashi Kobayashi-Laboratory Advanced Sciences Graduate School of Humanities and Sciences Ochanomizu University Bunkyo Tokyo Japan Advanced Sciences Graduate School of Humanities and Sciences Ochanomizu University Bunkyo Tokyo Japan

In the small community like a family, there exist several TODO tasks to be performed cooperatively by the members for making the community life easier. The TODO tasks have to be performed by someone in the community, therefore, it is preferable that the tasks should be done by the members without a big burden. In this context, we focus on TODO task management in a family, and propose a method to make a schedule in which the family members cooperate each other to achieve TODO tasks by taking account of multiple constraints, e.g., members' expert ability, schedules, etc. To make such a schedule, we use multi-objective genetic algorithm.

关键词： pattern recognition

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Fast 4x4 Tchebichef Moment Image Compression

Fast 4x4 Tchebichef Moment Image Compression

引用

international conference of soft computing and pattern recognition (socpar)

作者： Wong Siaw Lang Nur Azman Abu Hidayah Rahmalan Faculty of Information and Communication Technology Universiti Teknikal Malaysia Melaka Malacca Malaysia

This paper proposes a new approach based on 4×4 discrete orthogonal Tchebichef moment for fast and efficient image compression. The method incorporates a simplified mathematical framework technique using matrices, as well as a block-wise reconstruction technique to eliminate possible occurrences of numerical instabilities at higher moment orders. The comparison between 4×4 Tchebichef moment transform and discrete cosine transform has been done. The results show significant advantages for 4×4 Tchebichef moment in terms of its error reconstruction and average bit-length of Huffman codes.

关键词： Image coding Design optimization Printing Integer linear programming Constraint optimization Testing Containers pattern recognition Computer applications Laboratories

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Integrated Feature Selection and Parameter Optimization for Evolving Spiking Neural Networks Using Quantum Inspired Particle Swarm Optimization

Integrated Feature Selection and Parameter Optimization for ...

引用

international conference of soft computing and pattern recognition (socpar)

作者： Haza Nuzly Abdull Hamed Nikola Kasabov Siti Mariyam Shamsuddin Knowledge Engineering and Discovery Research Institute Auckland University of Technology Auckland New Zealand Soft Computing Research Group Universiti Teknologi Malaysia Johor Malaysia

This paper proposes a novel method for optimizing features and parameters in the Evolving Spiking Neural Network (ESNN) using Quantum-inspired Particle Swarm Optimization (QiPSO). This study reveals the interesting concept of QiPSO in which information is represented as binary structures. The mechanism simultaneously optimizes the ESNN parameters and relevant features using wrapper approach. A synthetic dataset is used to evaluate the performance of the proposed method. The results show that QiPSO yields promising outcomes in obtaining the best combination of ESNN parameters as well as in identifying the most relevant features.

关键词： Neural networks Particle swarm optimization Shape Curve fitting Phase detection Image segmentation Iterative algorithms pattern recognition Information science Data mining

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