2010 International Conference on Machine and Web Intelligence最新文献_第8页

Cooperative skills evaluation and participative multiagent simulation for rodent control training 鼠类控制训练的合作技能评估与参与式多智能体模拟

2010 International Conference on Machine and Web Intelligence Pub Date : 2010-11-29 DOI: 10.1109/ICMWI.2010.5648149

Abdelhafid Chadli, E. Tranvouez, F. Bendella

引用次数: 1

Software evolution: Models and challenges 软件进化:模型和挑战

2010 International Conference on Machine and Web Intelligence Pub Date : 2010-11-29 DOI: 10.1109/ICMWI.2010.5647967

Hanane Cheriet, N. Bounour

引用次数: 2

Distributed classification using class-association rules mining algorithm 基于类关联规则挖掘算法的分布式分类

2010 International Conference on Machine and Web Intelligence Pub Date : 2010-11-29 DOI: 10.1109/ICMWI.2010.5647984

D. Mokeddem, H. Belbachir

引用次数: 10

An improved radial basis function neural network based on a cooperative coevolutionary algorithm for handwritten digits recognition 基于协同进化的改进径向基函数神经网络手写数字识别算法

2010 International Conference on Machine and Web Intelligence Pub Date : 2010-11-29 DOI: 10.1109/ICMWI.2010.5647872

Salima Nebti, Abdellah Boukerram

{"title":"An improved radial basis function neural network based on a cooperative coevolutionary algorithm for handwritten digits recognition","authors":"Salima Nebti, Abdellah Boukerram","doi":"10.1109/ICMWI.2010.5647872","DOIUrl":"https://doi.org/10.1109/ICMWI.2010.5647872","url":null,"abstract":"Co-evolutionary algorithms are a class of adaptive search meta-heuristics inspired from the mechanism of reciprocal benefits between species in nature. The present work proposes a cooperative co-evolutionary algorithm to improve the performance of a radial basis function neural network (RBFNN) when it is applied to recognition of handwritten Arabic digits. This work is in fact a combination of ten RBFNNs where each of them is considered as an expert classifier in distinguishing one digit from the others; each RBFNN classifier adapts its input features and its structure including the number of centres and their positions based on a symbiotic approach. The set of characteristic features and RBF centres have been considered as dissimilar species where each of them can benefit from the other, imitating in a simplified way the symbiotic interaction of species in nature. Co-evolution is founded on saving the best weights and centres that give the maximum improvement on the sum of squared error of each RBFNN after a number of learning iterations. The results quality has been estimated and compared to other experiments. Results on extracted handwritten digits from the MNIST database show that the co-evolutionary approach is the best.","PeriodicalId":404577,"journal":{"name":"2010 International Conference on Machine and Web Intelligence","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126428951","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

Towards multicriteria analysis: A new clustering approach 迈向多标准分析:一种新的聚类方法

2010 International Conference on Machine and Web Intelligence Pub Date : 2010-11-29 DOI: 10.1109/ICMWI.2010.5648063

Rouba Baroudi, Nait Bahloul Safia

引用次数: 8

XMAP: A novel structural approach for alignment of OWL-Full ontologies XMAP:一种新的结构化方法，用于对齐OWL-Full本体

2010 International Conference on Machine and Web Intelligence Pub Date : 2010-11-29 DOI: 10.1109/ICMWI.2010.5648054

W. Djeddi, M. Khadir

引用次数: 23

Independent task scheduling in heterogeneous environment via makespan refinery approach 基于makespan精炼方法的异构环境下独立任务调度

2010 International Conference on Machine and Web Intelligence Pub Date : 2010-11-29 DOI: 10.1109/ICMWI.2010.5647860

Kadda Beghdad Bey, F. Benhammadi, A. Mokhtari, Z. Guessoum

引用次数: 5

Gaussian modeling and Discrete Cosine Transform for efficient and automatic palmprint identification 高斯建模和离散余弦变换的有效和自动掌纹识别

2010 International Conference on Machine and Web Intelligence Pub Date : 2010-11-29 DOI: 10.1109/ICMWI.2010.5648073

A. Meraoumia, S. Chitroub, A. Bouridane

{"title":"Gaussian modeling and Discrete Cosine Transform for efficient and automatic palmprint identification","authors":"A. Meraoumia, S. Chitroub, A. Bouridane","doi":"10.1109/ICMWI.2010.5648073","DOIUrl":"https://doi.org/10.1109/ICMWI.2010.5648073","url":null,"abstract":"Automatic personal identification using biometric information is playing a more and more important role in applications such as public security, access control, banking, etc. Palmprint identification is a subcategory of biometrics identification, which can efficiently used to identify the people. It is for this reason that palmprint-based identification is becoming increasingly popularity in recent years. In this paper, we present a novel scheme for palmprint identification using the multi-variate Gaussian Probability Density Function (GPDF) and two-dimensional Block based Discrete Cosine Transform (2D-BDCT). In this method, a palmprint is firstly divided into overlapping and equal-sized blocks, and then, applies the discrete cosine transform over each block. By using zigzag scan order (starting at the top-left) each transform block is reordered to produce the observation vector. Subsequently, we use the Gaussian probability density function for modeling the feature vector of each palmprint. Finally, Log-likelihood scores are used for palmprint matching. The proposed scheme is validated for their efficacy on PolyU palmprint database of 100 users. Our experimental results show the effectiveness and reliability of the proposed approach, which brings both high identification accuracy rate.","PeriodicalId":404577,"journal":{"name":"2010 International Conference on Machine and Web Intelligence","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134408730","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: 17

A fuzzy hybrid recommender system 模糊混合推荐系统

2010 International Conference on Machine and Web Intelligence Pub Date : 2010-11-29 DOI: 10.1109/ICMWI.2010.5648168

Majda Maâtallah, H. Seridi

引用次数: 15

3D-Computerized facial reconstructions from 3D-MRI of human heads using deformable model approach 使用可变形模型方法从人类头部的3D-MRI中获得3d计算机面部重建

2010 International Conference on Machine and Web Intelligence Pub Date : 2010-11-29 DOI: 10.1109/ICMWI.2010.5648144

A. Kermi, Sofia Marniche-Kermi, M. Laskri

{"title":"3D-Computerized facial reconstructions from 3D-MRI of human heads using deformable model approach","authors":"A. Kermi, Sofia Marniche-Kermi, M. Laskri","doi":"10.1109/ICMWI.2010.5648144","DOIUrl":"https://doi.org/10.1109/ICMWI.2010.5648144","url":null,"abstract":"The aim of facial reconstruction is to estimate the face of an unknown individual from the shape of his/her skull to aid in recognition and identification. In this paper a 3D computerized facial reconstruction method from 3D-MRI of human heads is presented. It based on a model deformable approach constrained by the knowledge of soft tissues thicknesses, at a certain number of characteristic landmarks. The facial reconstruction process is divided into two main stages. An automatic initialization step of the deformable model is based on a non-linear registration technique guided by B-Spline Free-Form Deformations (FFD) model. In the second step, the initial skin, resulting from the transformation computed previously, is refined by means of a 3D deform-able model based on simplexes meshes that is attracted by some characteristic landmarks previously computed by a calculation of Mean and Gaussian curvatures. The evolution of the deformable model is done according to different internal and external forces among which the Gradient Vectors Flow force (GVF) and a balloon force. This method has been tested on thirteen sets of skull/skin data, extracted from 3D-MRI of individual heads of children and adults.","PeriodicalId":404577,"journal":{"name":"2010 International Conference on Machine and Web Intelligence","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124182811","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: 7