2013 12th Mexican International Conference on Artificial Intelligence最新文献

Ontology Based Framework to Represent Relationships between Biomedical Spatial Data 基于本体的生物医学空间数据关系表示框架

2013 12th Mexican International Conference on Artificial Intelligence Pub Date : 2013-11-24 DOI: 10.1109/MICAI.2013.37

M. J. S. García, C. P. Herrero, Jaime A. Hernandez, I. H. P. Torres

引用次数: 1

Application of Decision Trees for Classifying Astronomical Objects 决策树在天体分类中的应用

2013 12th Mexican International Conference on Artificial Intelligence Pub Date : 2013-11-24 DOI: 10.1109/MICAI.2013.29

Anilu Franco-Arcega, Linda Gladiola Flores-Flores, R. Gabbasov

{"title":"Application of Decision Trees for Classifying Astronomical Objects","authors":"Anilu Franco-Arcega, Linda Gladiola Flores-Flores, R. Gabbasov","doi":"10.1109/MICAI.2013.29","DOIUrl":"https://doi.org/10.1109/MICAI.2013.29","url":null,"abstract":"Data mining techniques used to analyze and discover data and correlations already present in databases, showed to be very reliable and useful especially when large volumes of data are processed. These techniques have been applied to many areas, such as marketing, medicine, diagnosis, business, biology, astronomy and others. In particular, astronomy requires techniques that allow the recognition or classification of astronomical objects, for example galaxies, stars or quasars, from databases that contain millions of objects. Due to this, astronomers often deal with the analysis of large amounts of data obtained from telescopes, seeking for several characteristics for their interpretation. Decision tree is one of the most used techniques in data mining because of its simplicity to explain the results. Besides, there are decision tree algorithms that work with parallel and incremental techniques, which help to process large databases for classifying new objects faster than traditional algorithms. ParDTLT algorithm, which possesses these characteristics, was used in this work in context of astronomical objects catalogue SDSS, with the aim of obtaining decision rules to help astronomers to understand the behavior patterns of different kinds of astronomical objects.","PeriodicalId":340039,"journal":{"name":"2013 12th Mexican International Conference on Artificial Intelligence","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125479904","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: 5

Fuzzy Hyperheuristic Framework for GA Parameters Tuning 遗传算法参数整定的模糊超启发式框架

2013 12th Mexican International Conference on Artificial Intelligence Pub Date : 2013-11-24 DOI: 10.1109/MICAI.2013.48

Fernando Gudiño-Peñaloza, M. González-Mendoza, J. Mora-Vargas, N. Hernández-Gress

引用次数: 3

Image Processing for Automatic Reading of Electro-Mechanical Utility Meters 机电电能表自动读数的图像处理

2013 12th Mexican International Conference on Artificial Intelligence Pub Date : 2013-11-24 DOI: 10.1109/MICAI.2013.28

Ricardo Ocampo-Vega, Gildardo Sánchez-Ante, L. Falcón-Morales, Juan Humberto Sossa Azuela

{"title":"Image Processing for Automatic Reading of Electro-Mechanical Utility Meters","authors":"Ricardo Ocampo-Vega, Gildardo Sánchez-Ante, L. Falcón-Morales, Juan Humberto Sossa Azuela","doi":"10.1109/MICAI.2013.28","DOIUrl":"https://doi.org/10.1109/MICAI.2013.28","url":null,"abstract":"Electro-mechanical meters are commonly employed to measure the consumption of utilities. Basically there exist two types of analog meters: the ones that use rotary dials (like an odometer) and the ones with pointer dials (like a speedometer). Former approaches to automated meter reading have dealt with the first kind of meters. Considering that automated reading of the latter ones can be confusing, in this work we introduce a methodology based on image processing and segmentation to enable the image acquisition and processing of pointer dials to obtain efficiently and accurately readings. This methodology uses an image acquired with a smart phone and by applying a sequence of image processing functions it finds and extracts the dial images of such meter images. Then the methodology identifies the position of the pointers followed by a clever implementation that enables the reading. The database is composed with more than a hundred images taken under different light conditions, perspectives and angles. The method is able to extract the reading in an average of 3 seconds, with a 92 % accuracy with images taken in-field. Our method, enables the use of a common smart phone to acquire and automatically extract the reading of a pointer-type dial meter. This allows interesting applications that could help people to monitor their energy consumption and learn patterns to save energy. This could be one step ahead of energy saving policies that can be discovered through massive data analysis.","PeriodicalId":340039,"journal":{"name":"2013 12th Mexican International Conference on Artificial Intelligence","volume":"412 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123862343","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: 15

Magnetic-Field Feature Reduction for Indoor Location Estimation Applying Multivariate Models 基于多元模型的室内位置估计磁场特征约简

2013 12th Mexican International Conference on Artificial Intelligence Pub Date : 2013-11-24 DOI: 10.1109/MICAI.2013.22

C. Galván-Tejada, Juan-Pablo García-Vázquez, R. Brena

引用次数: 9

Matrix Factorization in Social Group Recommender Systems 社会群体推荐系统中的矩阵分解

2013 12th Mexican International Conference on Artificial Intelligence Pub Date : 2013-11-24 DOI: 10.1109/MICAI.2013.7

I. Christensen, S. Schiaffino

引用次数: 16

Autonomous Motion of Mobile Robot Using Fuzzy-Neural Networks 基于模糊神经网络的移动机器人自主运动

2013 12th Mexican International Conference on Artificial Intelligence Pub Date : 2013-11-24 DOI: 10.1109/MICAI.2013.15

A. Cardenas, Javier G. Rázuri, D. Sundgren, R. Rahmani

引用次数: 7

Automatic Emotion Recognition through Facial Expression Analysis in Merged Images Based on an Artificial Neural Network 基于人工神经网络的融合图像面部表情自动识别

2013 12th Mexican International Conference on Artificial Intelligence Pub Date : 2013-11-24 DOI: 10.1109/MICAI.2013.16

Javier G. Rázuri, D. Sundgren, R. Rahmani, A. Cardenas

{"title":"Automatic Emotion Recognition through Facial Expression Analysis in Merged Images Based on an Artificial Neural Network","authors":"Javier G. Rázuri, D. Sundgren, R. Rahmani, A. Cardenas","doi":"10.1109/MICAI.2013.16","DOIUrl":"https://doi.org/10.1109/MICAI.2013.16","url":null,"abstract":"This paper focuses on a system of recognizing human's emotion from a detected human's face. The analyzed information is conveyed by the regions of the eye and the mouth into a merged new image in various facial expressions pertaining to six universal basic facial emotions. The output information obtained could be fed as an input to a machine capable to interact with social skills, in the context of building socially intelligent systems. The methodology uses a classification technique of information into a new fused image which is composed of two blocks integrated by the area of the eyes and mouth, very sensitive areas to changes human's expression and that are particularly relevant for the decoding of emotional expressions. Finally we use the merged image as an input to a feed-forward neural network trained by back-propagation. Such analysis of merged images makes it possible, obtain relevant information through the combination of proper data in the same image and reduce the training set time while preserved classification rate. It is shown by experimental results that the proposed algorithm can detect emotion with good accuracy.","PeriodicalId":340039,"journal":{"name":"2013 12th Mexican International Conference on Artificial Intelligence","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134397789","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: 31

Some Implications of System Dynamics Analysis of Discrete-Time Recurrent Neural Networks for Learning Algorithms Design 离散时间递归神经网络系统动力学分析对学习算法设计的启示

2013 12th Mexican International Conference on Artificial Intelligence Pub Date : 2013-11-24 DOI: 10.1109/MICAI.2013.14

J. Cervantes, Maria Gomez, A. Schaum

引用次数: 2

On Applying Cuckoo Search Algorithm to Positioning GI/M/1/N Finite-Buffer Queue with a Single Vacation Policy 杜鹃搜索算法在单休假策略GI/M/1/N有限缓冲队列定位中的应用

2013 12th Mexican International Conference on Artificial Intelligence Pub Date : 2013-11-24 DOI: 10.1109/MICAI.2013.12

M. Woźniak

引用次数: 23