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2008 Seventh Mexican International Conference on Artificial Intelligence最新文献

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Multichannel Median M-Type L Filter to Remove Impulsive Noise from Color Images 多通道中值m型L滤波器去除彩色图像中的脉冲噪声
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.26
A. Toledo-Lopez, F. Gallegos-Funes, V. Ponomaryov
{"title":"Multichannel Median M-Type L Filter to Remove Impulsive Noise from Color Images","authors":"A. Toledo-Lopez, F. Gallegos-Funes, V. Ponomaryov","doi":"10.1109/MICAI.2008.26","DOIUrl":"https://doi.org/10.1109/MICAI.2008.26","url":null,"abstract":"In this paper, we present the multichannel median M-type L (MMML) -filter to remove impulsive noise from color images. The proposed technique uses the MM (median M-type) - estimator with simplest influence function in the L filtering algorithm and these are adapted to multichannel image processing applications. The results from known techniques are compared with the proposed method to demonstrate its performance in terms of noise suppression, detail preservation, and color retention.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122425268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Logic Formal Validation Model for the Explanations Generation in an Intelligent Assistant 智能助手解释生成的逻辑形式化验证模型
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.52
J. Frausto, F. Elizalde, A. Reyes
{"title":"A Logic Formal Validation Model for the Explanations Generation in an Intelligent Assistant","authors":"J. Frausto, F. Elizalde, A. Reyes","doi":"10.1109/MICAI.2008.52","DOIUrl":"https://doi.org/10.1109/MICAI.2008.52","url":null,"abstract":"Given that users provided with explanations have a better performance than ones without them, we have developed an explanation generation mechanism based on the selection of the most relevant variable. However, explanations generated automatically by an intelligent assistant system (IAS) and those generated manually by a human expert could have inconsistences. In this work, we present a formal validation model that uses first order logic to formalize the explanations given by the human and the IAS output as well. The aim of this validation is to prove the IAS correctness and the explanations soundness. Experimental results demonstrate that most of the explanations generated automatically in a training plant operator domain are consistent and sound with those provided by the expert. We consider that this method is a useful tool to evaluate the precision of the explanation generation mechanism that could also be extended to other domains.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126450256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
New Approaches for the School Timetabling Problem 学校课程表问题的新方法
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.19
Ana Cerdeira-Pena, L. Carpente, A. Fariña, Diego Seco
{"title":"New Approaches for the School Timetabling Problem","authors":"Ana Cerdeira-Pena, L. Carpente, A. Fariña, Diego Seco","doi":"10.1109/MICAI.2008.19","DOIUrl":"https://doi.org/10.1109/MICAI.2008.19","url":null,"abstract":"School timetabling is a hard task that educational centers have to perform regularly and which implies a large waste of time and human efforts. For such reason designing techniques for the automatic generation of timetables is still of interest. Even though many contributions exist, the characteristics of the problem vary depending on the school policies, the country (laws), and other particular variables.The complexity of this problem makes it difficult to find anoptimal solution, so approximated techniques are traditionally used in practice. In this paper, we focus in the Spanish school timetabling problem and present several approaches to deal with it. The first technique proposed is based on the random non ascendent method (RNA). Then we provide several genetic algorithms which differ on the policies used for selecting how the next generation is created (including elitism) as well as on the levels of mutation considered. Finally, we study how to combine the two previous approaches. We run experiments both on synthetic and real scenarios in order to compare all the proposals. Even though the RNA and some of the pure genetic algorithms obtain good results in practice, we show that by joining RNA with genetic algorithms we gain stability in the results.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133156363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
On the Path Towards Autonomic Computing: Combining Swarm Intelligence and Excitable Media Models 走向自主计算的道路:结合群体智能和可兴奋媒体模型
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.51
Luis M. Fernandez-Carrasco, Hugo Terashima-Marı́n, Manuel Valenzuela-Rendón
{"title":"On the Path Towards Autonomic Computing: Combining Swarm Intelligence and Excitable Media Models","authors":"Luis M. Fernandez-Carrasco, Hugo Terashima-Marı́n, Manuel Valenzuela-Rendón","doi":"10.1109/MICAI.2008.51","DOIUrl":"https://doi.org/10.1109/MICAI.2008.51","url":null,"abstract":"The present article presents an approach towards the emergent field of autonomic computing by combining swarm intelligence and excitable media. It is believed that the combination of these scientific fields is capable of generating two important self-* properties required by autonomic systems: self-organization and self-configuration. An agent-based simulation is used to generate swarms, which are then thought as computing tasks; the excitable media is, on the other hand, implemented as a cellular automaton, which is what excites swarms to show autonomic computing features. The results show that combining swarm intelligence and excitable media is a feasible way towards autonomic computing and its desired characteristics, reducing systems' complex design and implementation.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128877606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Semi-automatic Codification of Economical Activities with Support Vector Machines 基于支持向量机的经济活动半自动编码
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.18
Rogerio Fabiano, Correa, Jun Okamoto
{"title":"Semi-automatic Codification of Economical Activities with Support Vector Machines","authors":"Rogerio Fabiano, Correa, Jun Okamoto","doi":"10.1109/MICAI.2008.18","DOIUrl":"https://doi.org/10.1109/MICAI.2008.18","url":null,"abstract":"The correct attribution of codes to economical activities is of ultimate importance for fiscal and administrative purposes. In a joint effort involving federal, state and city business regulating offices, the unification and automation of this codification process is in progress. As the input information is in the form of free textual entries, techniques used in multi-class, multi-label text categorization are well suited. Due to the fact that the possible codes are in the order of one thousand, this problem is under investigation through an approach based on a hierarchical use of Support Vector Machines (SVM). The hierarchical organization of several SVMs split the problem into smaller ones and allows a fine tuning of the code attribution obeying the very hierarchy present in the table describing the codes. This paper will introduce the problem, describe the proposed approach based on SVMs and show some results that validate the approach.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127808802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Statistical Analysis of Visual Cues for Estimating Dense Range Maps 估计密集距离图的视觉线索的统计分析
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.57
S.A. Rosales-Morales, L. Torres-Méndez
{"title":"A Statistical Analysis of Visual Cues for Estimating Dense Range Maps","authors":"S.A. Rosales-Morales, L. Torres-Méndez","doi":"10.1109/MICAI.2008.57","DOIUrl":"https://doi.org/10.1109/MICAI.2008.57","url":null,"abstract":"A method for recovering dense range maps from sparse range maps by using statistical analysis of visual cues is presented. The proposed technique is based on constructing a 3D map of a real environment, which in turn, requires visual information to densely cover the environment to be placed. Moreover, the method relies only on the information coming from intensity images taken at the scene in question and compared to existing work, use a small, but representative, set of visual cues to estimate their geometry. The steps for implementing the proposed technique require obtaining an initial (sparse) geometric information from stereo vision. A set of visual characteristics with relevant geometric information is extracted by statistically analyzing small patches from data. These characteristics help to assign confidence values to the sparse range map and apply a range synthesis algorithm based on a Markov field model to estimate a complete dense range map. Preliminary experimental results validate the proposed method.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129374739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ARES: A Semantic Solution for Business Collaboration ARES:业务协作的语义解决方案
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.71
J. Chamizo, Francisco García-Sánchez, Y. Hernandez, G. Alor-Hernández, J.M. Gomez, R. Posada-Gómez
{"title":"ARES: A Semantic Solution for Business Collaboration","authors":"J. Chamizo, Francisco García-Sánchez, Y. Hernandez, G. Alor-Hernández, J.M. Gomez, R. Posada-Gómez","doi":"10.1109/MICAI.2008.71","DOIUrl":"https://doi.org/10.1109/MICAI.2008.71","url":null,"abstract":"Service industry is a major constituent of developed economies. Providing services is a knowledge-intensive, customer-specific, on-demand business. In the business information systems domain, service-oriented architectures (SOA) and Web services (WS), as an emerging approach to moving services into the computing world, are two of the most discussed topics in the areas related to Internet research. Today, technical questions of distributed computing, service description, composition, architectures and utilisation prevail, particularly, new forms and dimensions of intra- and inter-enterprise integration, coordination and availability of resources. In this paper, we present the ARES platform, a new promising approach developed together with Indra SoftwareLabs, one of the biggest Spanish software technology provider, integrates service-centric applications to provide a solution to the development of value-added tasks to be carried out by different organizations.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129560942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Single Document Summarization Based on Local Topic Identification and Word Frequency 基于局部主题识别和词频的单文档摘要
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.12
Z. Teng, Ye Liu, F. Ren, S. Tsuchiya, F. Ren
{"title":"Single Document Summarization Based on Local Topic Identification and Word Frequency","authors":"Z. Teng, Ye Liu, F. Ren, S. Tsuchiya, F. Ren","doi":"10.1109/MICAI.2008.12","DOIUrl":"https://doi.org/10.1109/MICAI.2008.12","url":null,"abstract":"In this task, an approach for single document summaries based on local topic identification and word frequency is proposed. In recent years, there has been increased interest in automatic summarization. The physical features are often used and have been successfully applied to this field; it also has some disadvantages of non-redundancy, structure and coherence. Therefore, we introduced logical structure feature which has been successfully applied in multi-document summarization (MDS), and we designed a system to accomplish this task. Documents can be clustered into local topic after sentences similarity is calculated, which can be sorted by the scoring. Then sentences from all local topics are selected by computing the word frequency. Using this proposed method, the information redundancy of each local topic and among local topic is reduced. The information coverage ratio and structure of the summarization is improved.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130945298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 22
Equivalence of the Constriction Factor and Inertia Weight Models in Particle Swarm Optimization: A Geometric Series Analysis 粒子群优化中收缩因子和惯性权重模型的等价性:一个几何级数分析
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.42
J. Barrera, J. Flores
{"title":"Equivalence of the Constriction Factor and Inertia Weight Models in Particle Swarm Optimization: A Geometric Series Analysis","authors":"J. Barrera, J. Flores","doi":"10.1109/MICAI.2008.42","DOIUrl":"https://doi.org/10.1109/MICAI.2008.42","url":null,"abstract":"In this work we show the equivalence of the models of constriction factor and weighted inertia for particle swarm optimization. This equivalence is shown through expressing the formula for updating a particle's velocity as a geometric series in both models. We also present the mathematical basis for the convergence conditions on an unified model based on geometric series. These mathematical results tell us directly what are adequate numeric values for the model's parameters, which is a very useful pragmatic result.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123139203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Face Recognition Based on the Phase Spectrum of Local Normalized Image 基于局部归一化图像相位谱的人脸识别
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.46
J. Olivares-Mercado, K. Hotta, H. Takahashi, H. Perez-Meana, G. Sánchez-Pérez
{"title":"Face Recognition Based on the Phase Spectrum of Local Normalized Image","authors":"J. Olivares-Mercado, K. Hotta, H. Takahashi, H. Perez-Meana, G. Sánchez-Pérez","doi":"10.1109/MICAI.2008.46","DOIUrl":"https://doi.org/10.1109/MICAI.2008.46","url":null,"abstract":"This paper proposes a robust faces recognition method based on the phase spectrum features of the local normalized image. The principal components analysis (PCA) and the support vector machine (SVM) are used in the classification stage. We evaluate how the proposed method is robust to illumination, occlusion and expressions using \"AR face database\", which includes the face images of 109 subjects (60 males and 49 females) under illumination changes, expression changes and partial occlusion. The proposed method provides results with a correct recognition rate more than 95.5%.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122343329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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