2016 35th International Conference of the Chilean Computer Science Society (SCCC)最新文献

GreenHop: Open source environmental monitoring for small and medium data centers GreenHop:中小型数据中心的开源环境监测

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836064

Daniel Scheidemantel Camargo, C. Miers, G. Koslovski, M. A. Pillon

引用次数: 3

Optimization-based supersymmetry model of permutations groups 基于优化的置换群超对称模型

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836012

Richard D. Jimenez Riveros, D. Pinto

引用次数: 0

Multi-objective optimization of monitoring well location for CO2 leakage detection CO2泄漏监测井位多目标优化

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836053

Gisell Royg, B. Barán, J. P. Nogués

引用次数: 1

ESS-IM applied to forest fire spread prediction: Parameters tuning for a heterogeneous configuration ESS-IM应用于森林火灾蔓延预测:异构配置的参数调优

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836007

Miguel Méndez-Garabetti, G. Bianchini, Paola Caymes-Scutari, M. L. Tardivo

引用次数: 4

Modifications on illumination, distance function and Gabor masks for elastic bunch graph matching 弹性束图匹配中光照、距离函数和Gabor掩模的改进

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836050

J. C. Gutiérrez-Cáceres, J. Chavez

{"title":"Modifications on illumination, distance function and Gabor masks for elastic bunch graph matching","authors":"J. C. Gutiérrez-Cáceres, J. Chavez","doi":"10.1109/SCCC.2016.7836050","DOIUrl":"https://doi.org/10.1109/SCCC.2016.7836050","url":null,"abstract":"Face recognition is one of the most important field in computer vision, although there are many proposals and research papers still have limitations in real applications where uncontrolled conditions such as illumination, view angle, facial expressions, resolution and image quality, etc. are the main problems. To solve these issues there are a large number of methods for recognition, which can be grouped according to the approach by which the recognition process is addressed, such groups are; holistic methods and featrure based. In this paper we address a feature-based method called Elastic Bunch Graph Matching (EBGM) which is appropriate for an uncontrolled environment for its tolerance to changing background and certain variations of pose, also by having a lower sensitivity variations of illumination which is one of the weaknesses in the holistic methods, which compared to them EBGM without any modification obtained results alongside well-known methods as Principal Component Analysis (PCA). EBGM has several parameters that can be configured and most of the works in literature uses the default settings of the original author. In this respect this paper presents modifications to these parameters as regards the number of models, illumination enhancement in the preprocessing phase, the configurations Gabor masks and modifying the similarity function. Finally we corroborate the existence of improvements on our experimental results.","PeriodicalId":432676,"journal":{"name":"2016 35th International Conference of the Chilean Computer Science Society (SCCC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130053868","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

Identifying characteristics of Java methods that may influence branch coverage: An exploratory study on open source projects 识别可能影响分支覆盖的Java方法的特征:对开放源代码项目的探索性研究

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7835998

Camila F. Castro, Decio de Souza Oliveira, M. Eler

引用次数: 4

Requirements taxonomy for automatic detection of data mining techniques for non-expert users 非专家用户自动检测数据挖掘技术的需求分类

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836033

Roberto Espinosa Oliva, J. Zubcoff, J. Mazón

引用次数: 2

Practical case of number factorization semiprimes under the RSA method RSA方法下半素数分解的实例

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836016

Siler Amador Donado, Katerine Márceles Villalba, Clara Lucía Burbano González, Diana Carolina Burbano Gonzalez

引用次数: 0

Bird species classification using visual and acoustic features extracted from audio signal 利用声音信号提取的视声特征对鸟类进行分类

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836063

D. Lucio, Yandre M. G. Costa

{"title":"Bird species classification using visual and acoustic features extracted from audio signal","authors":"D. Lucio, Yandre M. G. Costa","doi":"10.1109/SCCC.2016.7836063","DOIUrl":"https://doi.org/10.1109/SCCC.2016.7836063","url":null,"abstract":"This work aims to present a system for automatic bird species classification based on acoustic and visual features extracted from the birdsong. The visual features are extracted from spectrogram images generated from the birdsong audio, while the acoustic features are taken directly from the audio. Texture descriptors were used to describe the spectrogram content, as this is the main visual content found in this kind of image. The texture operators used are Local Binary Pattern (LBP), Local Phase Quantization (LPQ), Robust Local Binary Pattern (RLBP), Gray-Scale Level Co-occurrence Matrix (GLCM) and Gabor filters. The acoustic features are, in turn, described using Rhythm Histogram (RH), Rhythm Patterns (RP) and Statistical Spectrum Descriptor (SSD.) Aiming to perform more fare comparisons, the experiments performed were made on a similar database already used in other works. In the classification step, SVM classifier was used and the final results were taken by using 10-fold cross validation. And over all performed tests the combination between acoustic and visual features produce the best rate of this work 91.08%.","PeriodicalId":432676,"journal":{"name":"2016 35th International Conference of the Chilean Computer Science Society (SCCC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128982538","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

Music genre recognition using spectrograms with harmonic-percussive sound separation 用声谱图进行音乐体裁识别

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836027

R. L. Aguiar, Yandre M. G. Costa, L. Nanni

引用次数: 3