2014 27th SIBGRAPI Conference on Graphics, Patterns and Images最新文献

筛选
英文 中文
Fuzzy Inference Methods Applied to the Learning Competence Measure in Dynamic Classifier Selection 模糊推理方法在动态分类器选择学习能力测量中的应用
2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.26
M. Kurzynski, Maciej Krysmann
{"title":"Fuzzy Inference Methods Applied to the Learning Competence Measure in Dynamic Classifier Selection","authors":"M. Kurzynski, Maciej Krysmann","doi":"10.1109/SIBGRAPI.2014.26","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2014.26","url":null,"abstract":"The concept of classifier competence in the feature space is fundamental to dynamic classifier selection in multiple classifier systems (MCS). Competence function (measure) of base classifier can be determined using validation set in the two step procedure. The first step consists in creating competence set, i.e. the set of classifier competences for all validation objects. To this end a hypothetical classifier called randomized reference classifier (RRC) is constructed. Since RRC - on average - acts like the evaluated classifier, the competence of the classifier at validation point is calculated as the probability of correct classification at this point of the respective RRC. In the second step, the competences calculated for a validation set are generalised to an entire feature space by constructing a competence function based on a supervised learning procedure. In this study, the second step of the above procedure is addressed by developing the fuzzy inference methods of learning competence functions. Two fuzzy inference systems are developed and applied to the supervised learning competence function of base classifiers in a MCS system with dynamic classifier selection (DCS) and dynamic ensemble selection (DES) scheme: Mamdani fuzzy inference system and Sugeno fuzzy inference system. Both fuzzy inference systems were experimentally tested and compared against 4 literature methods of learning classifier competence (potential function, regression model, multilayer perceptron, k-nearest neighbor scheme) using 9 databases taken from the UCI Machine Learning Repository. The experimental results clearly show the effectiveness of the proposed supervised learning competence function using fuzzy inference systems regardless of the ensemble type used (homogeneous or heterogeneous).","PeriodicalId":146229,"journal":{"name":"2014 27th SIBGRAPI Conference on Graphics, Patterns and Images","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133333314","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: 3
Automatic Segmentation of Specular Reflections for Endoscopic Images Based on Sparse and Low-Rank Decomposition 基于稀疏和低秩分解的内镜图像镜面反射自动分割
2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-01 DOI: 10.1109/SIBGRAPI.2014.18
Fabiane Queiroz, Ing Ren Tsang
{"title":"Automatic Segmentation of Specular Reflections for Endoscopic Images Based on Sparse and Low-Rank Decomposition","authors":"Fabiane Queiroz, Ing Ren Tsang","doi":"10.1109/SIBGRAPI.2014.18","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2014.18","url":null,"abstract":"Endoscopy is a minimally invasive medical diagnostic procedure that is used to provide a realistic view of the surfaces of organs inside human body. Images taken during such procedures largely show tissues of human organs. Due to the presence of mucosa of the gastrointestinal tract or other characteristics of the human body, these surfaces usually have a glossy appearance showing specular reflections. For many image analysis algorithms, these distinct and bright visual mark can be a significant source of error. On other hand, these features can also be useful for image restoration and for the construction of 3D model of the organs. In this article, we propose a segmentation method of the specular regions based on sparse and low-rank decomposition using a robust PCA via accelerated proximal gradient algorithm. In contrast to the existing approaches, the proposed segmentation works without using colour image thresholds. Moreover, the proposed method presents more precise segmentation results represented by grayscale masks instead of binary masks.","PeriodicalId":146229,"journal":{"name":"2014 27th SIBGRAPI Conference on Graphics, Patterns and Images","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127659029","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
A Parallel Framework for Video Super-Resolution 视频超分辨率的并行框架
2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-06-07 DOI: 10.1109/SIBGRAPI.2014.15
P. Freitas, Mylène C. Q. Farias, Aleteia P. F. Araujo
{"title":"A Parallel Framework for Video Super-Resolution","authors":"P. Freitas, Mylène C. Q. Farias, Aleteia P. F. Araujo","doi":"10.1109/SIBGRAPI.2014.15","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2014.15","url":null,"abstract":"In this paper, we propose a framework for acquiring super-resolution videos from low-resolution originals. Given that super-resolution conversion algorithms require a large amount of data processing, the proposed framework uses a set of strategies to improve performance and computational efficiency. The strategies consists of a combination of data simplification and parallel processing techniques. The simplification strategies are used to decrease the amount of data to process and, consequently, the required processing time. The parallel processing techniques are designed so that major modifications of the super-resolution algorithms are not required. The framework is fast and makes the video resolution increase timely.","PeriodicalId":146229,"journal":{"name":"2014 27th SIBGRAPI Conference on Graphics, Patterns and Images","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125641685","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信