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Hilbert-huang transform-based local regions descriptors

Hilbert-huang transform-based local regions descriptors

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2007 18th British Machine Vision Conference, BMVC 2007

作者： Han, Dongfeng Li, Wenhui Guo, Wu Li, Zongcheng Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun China School of Engineering Technology Shandong University of Technology Zibo China

ISBN: (纸本)1901725340

This paper presents a new interest local regions descriptors method based on Hilbert-Huang Transform. The neighborhood of the interest local region is decomposed adaptively into oscillatory components called intrinsic mode functions (IMFs). Then the Hilbert transform is applied to each component and get the phase and amplitude information. The proposed descriptors samples the phase angles information and amalgamates them into 10 overlap squares with 8-bin orientation histograms. The experiments show that the proposed descriptors are better than SIFT and other standard descriptors. Essentially, the Hilbert-Huang Transform based descriptors can belong to the class of phase-based descriptors. So it can provides a better way to overcome the illumination changes. Additionally, the Hilbert-Huang transform is a new tool for analyzing signals and the proposed descriptors is a new attempt to the Hilbert-Huang transform.

关键词： Hilbert-Huang transform

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Dynamic Policy Scheme for Resource Allocation in Mobile IP Handoff

Dynamic Policy Scheme for Resource Allocation in Mobile IP H...

引用

International Conference on Natural computation (ICNC)

作者： Xue-jie Liu Yan-heng Liu College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China

For the problem of multimedia applications not obtain assuring service immediately after mobile IP handoff we propose dynamic policy and design the dynamic policy scheme of resource management in mobile IP. Based on the prediction information of the mobile node, the mechanism automatically produces dynamic policies to do admission control and to prepare resources before handoff occurs. And then it uses core policies existed as reference and applies product space conditional event algebra to trigger enforcement of dynamic policy. When the resources in access domain fell short of mobile nodes' requisition, it adopts "step back" arithmetic to update dynamic policies to further adjust resource possession according to the priority to assure the services credibility. By analysis, it is shown that this scheme can guarantee QoS of applications with higher priority and significantly improve the success rate of handoff. Also this management model is much more flexible than traditional methods.

关键词： Resource management Mobile computing Application software educational institutions Computer science educational technology Laboratories knowledge engineering Computer science education Admission control

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Dynamic Variable Ordering Based Concurrent Search for Distributed CSPs

Dynamic Variable Ordering Based Concurrent Search for Distri...

引用

IFIP International Conference on Network and Parallel Computing Workshops (NPC Workshops)

作者： Chunhui LIU Jigui SUN Jian GAO College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China

Concurrent search is an efficient technique for solving distributed constraint satisfaction problems (DisCSPs). dynamic variable ordering (DVO) impacts performance of search greatly. In this paper, we present a distributed dynamic variable ordering based concurrent search algorithm, in which domain sizes of variables are calculated approximately during search. Experiments on randomly generated DisCSPs demonstrate that the proposed algorithm improves concurrent search drastically.

关键词： Parallel processing educational institutions Computer science educational technology Laboratories Computer networks Concurrent computing Distributed computing knowledge engineering Computer science education

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A CLAUSE LEARNING ALGORITHM COMBINING IMMUNE MECHANISM TO INVENT PREDICATE

A CLAUSE LEARNING ALGORITHM COMBINING IMMUNE MECHANISM TO IN...

引用

2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： PENG YU DA-YOU LIU College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin Uni

Aiming at the larger search space of learning clause in Inductive Logic Programming, we put forward the definitions of the predicate template and the clause template to reduce search *** suggest IMPI algorithm, which is a genetic algorithm combining immune mechanism and uses the clause template as genetic code to learn the clause template of required *** uses immune mechanism to invent new predicates, which can extend the hypothesis language, find better *** we design when to invent *** obtaining the clause template, we use a general method based on generalization and information gain sampling to convert clause template to *** design the corresponding fitness function and genetic *** indicates that this algorithm can reduce the search space, improve the efficiency of search algorithm and can learn recursion clause by theoretical analysis and experiment *** is an effective clause learning algorithm.

关键词： Inductive logic programming Clause template Immune mechanism Recursion clause Information gain Genetic algorithm

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An improved ant colony optimization algorithm based on route optimization and its applications in travelling salesman problem

An improved ant colony optimization algorithm based on route...

引用

7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Zhang, Yi Pei, Zhi-Li Yang, Jin-Hui Liang, Yan-Chun College of Computer Science and Technology Jilin University Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Department of Computer Science Jilin Business and Technology College College of Mathematics and Computer Science Inner Mongolia University for Nationalities

ISBN: (纸本)1424415098

In this paper, we introduce two improvements on Ant Colony Optimization (ACO) algorithm: route optimization and individual variation. The first is an optimized implementation of ACO, by which the running time of ants routing is largely reduced. The results of the simulated experiments show that the improved algorithm not only reduces the number of routing in the ACO but also surpasses existing algorithms in performance in solving large-scale TSP problems. In the second improvement, we introduce individual variation to ACO, by which the ants have different routing strategies. Simulation results show that the speed of convergence of ACO algorithm could be enhanced greatly. ©2007 IEEE.

关键词： Ant colony optimization

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A NEW TECHNIQUE FOR RAY TRACING POINT-BASED GEOMETRY

A NEW TECHNIQUE FOR RAY TRACING POINT-BASED GEOMETRY

引用

2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： YONG QUAN ZHEN-HUA ZHANG WEN-HUI LI WEI LIU Computer Graphics Laboratory College of Computer Science and Technology Jilin University Qianwei Road Changchun 130012 P.R.China Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education

In this paper a new technique for ray tracing point-based models is *** approach offers a higher ray tracing speed in comparison with previous *** pre-process, we add an important attribute to each point for the purpose of ray *** rendering, an algorithm of intersecting a ray with point geometry is demonstrated to get satisfied *** approach makes it possible to render high quality ray traced images with global *** performs well especially in the way of boundary *** have tested our idea for shadows, reflection and refraction.

关键词： Points Neighbor radius Ray tracing Intersection algorithm Boundary representation

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Translating PDDL Tasks into Multi-valued Conformant Planning Tasks

Translating PDDL Tasks into Multi-valued Conformant Planning...

引用

International Conference on Fuzzy Systems and knowledge Discovery (FSKD)

作者： Jingjing Zhao Jigui Sun Minghao Yin College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China College of Business Administration Changchun University of Technology China

In this paper, we formally define the problem of conformant planning with multi-valued state variables, namely multi-valued conformant planning task (MCPT), and present an algorithm for transforming conformant planning problems specified in Planning Domain Definition Language (PDDL) into MCPTs. The algorithm can deal with the uncertainties of initial conditions and disjunctive goals according to two important relaxed conditions.

关键词： Technology planning Uncertainty educational institutions educational technology State-space methods Computer science Laboratories knowledge engineering Computer science education Path planning

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Anomaly Intrusion Detection Methods for Peer-to-Peer System

Anomaly Intrusion Detection Methods for Peer-to-Peer System

引用

IFIP International Conference on Network and Parallel Computing Workshops (NPC Workshops)

作者： Daxin Tian Yanheng Liu Bin Li College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun Jilin China College of Mathematics Science Jilin University Changchun China

Peer-to-peer systems and applications are the hotspot of research of network applications. As peer-to-peer system has no central system and is deployed on an open network, new concerns regarding security have been raised. As an additional security measure, the intrusion detection system would help determine whether unauthorized users are attempting to access, have already accessed, or have compromised the network Intrusion detection, as the second line of defense, is an indispensable tool for highly survivable networks. In this paper two anomaly intrusion detection methods are proposed for peer-to-peer system. The main characters of the methods are that they can detect intrusion in real-time without any expert knowledge and attack signatures. One method uses hidden Markov model to check reflector DoS attacks, another based on adaptive resonance theory, which can learn the normal behavior with unsupervised method. The experimental P2P system is built on FreePastry 1.401 and JDK 1.5.0. The results have indicated that the methods can find DoS attacks immediately and find new intruders with low false alarm rate.

关键词： Intrusion detection Peer to peer computing Computer crime Hidden Markov models Resonance Protection Communication system security educational institutions Application software Authentication

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Making FF Faster in ADL Domains

Making FF Faster in ADL Domains

引用

International Conference on Natural computation (ICNC)

作者： Dunbo Cai Jigui Sun Minghao Yin College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China School of Computer Science Northeast Normal University Changchun Jilin China

The fast-forward planning system (FF), which obtains heuristics via a relaxed planning graph to guide the enforced hill-climbing search strategy, has shown excellent performance in most STRIPS domains. When it comes to ADL domains, FF handles actions with conditional effects in a way similar to factored expansion. The result is that enforced hill-climbing guided by the relaxed Graphplan always fails in some ADL domains. We have discovered that the reason behind this issue is the relaxed Graphplan's inability to handle relationships between actions' components. We propose a novel approach called delayed partly reasoning on a naive conditional-effects planning graph (DP-CEPG). We do not ignore action's delete effects and consider restricted induced component mutual exclusions between factored expanded actions. Preliminary results show that enforced hill-climbing while guided by DP-CEPG gains obvious improvements in most ADL problems in terms of both solution length and runtime.

关键词： Computer science Strategic planning Technology planning Strips State estimation educational institutions educational technology Laboratories knowledge engineering Computer science education

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SEGMENTATION-BASED IMAGE RETRIEVAL

SEGMENTATION-BASED IMAGE RETRIEVAL

引用

2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： WEN-HUI LI GANG WANG ZHEN-HUA ZHANG YI-NAN LU College of Computer Science and Technology Jilin University Changchun 130012 China Key laboratory of Symbolic Computing and Knowledge Engineering of Ministry of Education Jilin Unive

Color features are important to pictures and they are easy to ***, the features are widely used in content-based image retrieval (CBIR)[4][7].In the meantime, it lacks space *** this paper, color spaces are analyzed and YUV color space is *** and texture features are extracted in segmentation block, so there are space *** color, major segmentation block, a new kind of color quantization and a new Gray scale co-existing matrix's method are *** approach is described in detail and compared with other methods presented in the literature to deal with the same *** experiments are finished and show that the method in this paper is effective and efficient.

关键词： Image retrieval Color histogram Content-based image retrieval (CBIR) Texture feature Image segmentation

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