2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI)最新文献_第2页

Approximate nearest neighbors by deep hashing on large-scale search: Comparison of representations and retrieval performance 在大规模搜索中通过深度哈希逼近最近邻:表示和检索性能的比较

2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI) Pub Date : 2017-11-01 DOI: 10.1109/LA-CCI.2017.8285730

Alexander Ocsa, J. L. Huillca, R. Coronado, Oscar Quispe, Carlos Arbieto, Cristian Lopez

{"title":"Approximate nearest neighbors by deep hashing on large-scale search: Comparison of representations and retrieval performance","authors":"Alexander Ocsa, J. L. Huillca, R. Coronado, Oscar Quispe, Carlos Arbieto, Cristian Lopez","doi":"10.1109/LA-CCI.2017.8285730","DOIUrl":"https://doi.org/10.1109/LA-CCI.2017.8285730","url":null,"abstract":"The growing volume of data and its increasing complexity require even more efficient and faster information retrieval techniques. Approximate nearest neighbor search algorithms based on hashing were proposed to query high-dimensional datasets due to its high retrieval speed and low storage cost. Recent studies promote the use of Convolutional Neural Network (CNN) with hashing techniques to improve the search accuracy. However, there are challenges to solve in order to find a practical and efficient solution to index CNN features, such as the need for a heavy training process to achieve accurate query results and the critical dependency on data-parameters. In this work we execute exhaustive experiments in order to compare recent methods that are able to produces a better representation of the data space with a less computational cost for a better accuracy by computing the best data-parameter values for optimal sub-space projection exploring the correlations among CNN feature attributes using fractal theory. We give an overview of these different techniques and present our comparative experiments for data representation and retrieval performance.","PeriodicalId":144567,"journal":{"name":"2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124796455","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 gene expression programming approach for evolving multi-class image classifiers 多类图像分类器的基因表达编程方法

2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI) Pub Date : 2017-11-01 DOI: 10.1109/LA-CCI.2017.8285696

Nelson Marcelo Romero Aquino, Manassés Ribeiro, M. Gutoski, C. Benítez, H. S. Lopes

引用次数: 0

Combining a novel feeding operator and recent advances to improve the fish school search 结合一种新的喂食操作和最新进展，以改善鱼群搜索

2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI) Pub Date : 2017-11-01 DOI: 10.1109/LA-CCI.2017.8285675

L. Verçosa, C. J. A. B. Filho, R. Monteiro

引用次数: 0

Multispectral images segmentation using fuzzy probabilistic local cluster for unsupervised clustering 基于模糊概率局部聚类的无监督聚类多光谱图像分割

2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI) Pub Date : 2017-11-01 DOI: 10.1109/LA-CCI.2017.8285729

Luis Mantilla, Yessenia Yari

引用次数: 1

Tracking and counting of vehicles for flow analysis from urban traffic videos 跟踪和计数车辆流量分析从城市交通视频

2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI) Pub Date : 2017-11-01 DOI: 10.1109/LA-CCI.2017.8285724

I. S. Farias, Bruno José Torres Fernandes, E. Albuquerque, B. Bezerra

引用次数: 5

Anomaly detection in smart houses: Monitoring elderly daily behavior for fall detecting 智能房屋中的异常检测：监测老年人的日常行为以检测跌倒

2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI) Pub Date : 2017-11-01 DOI: 10.1109/LA-CCI.2017.8285701

Yves M. Galvão, V. A. Albuquerque, Bruno José Torres Fernandes, M. Valença

引用次数: 14

Proposal of new hybrid fuzzy clustering algorithms — Application to breast cancer dataset 一种新的混合模糊聚类算法的提出——在乳腺癌数据集中的应用

2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI) Pub Date : 2017-11-01 DOI: 10.1109/LA-CCI.2017.8285679

P. Coutinho, T. P. Chagas

引用次数: 4

A deep bidirectional long short-term memory approach applied to the protein secondary structure prediction problem 一种深度双向长短期记忆方法应用于蛋白质二级结构预测问题

2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI) Pub Date : 2017-11-01 DOI: 10.1109/LA-CCI.2017.8285678

L. T. Hattori, C. Benítez, H. S. Lopes

引用次数: 9

Human action recognition with 3D convolutional neural network 基于三维卷积神经网络的人体动作识别

2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI) Pub Date : 2017-11-01 DOI: 10.1109/LA-CCI.2017.8285700

Tiago Lima, Bruno José Torres Fernandes, Pablo V. A. Barros

{"title":"Human action recognition with 3D convolutional neural network","authors":"Tiago Lima, Bruno José Torres Fernandes, Pablo V. A. Barros","doi":"10.1109/LA-CCI.2017.8285700","DOIUrl":"https://doi.org/10.1109/LA-CCI.2017.8285700","url":null,"abstract":"In the last decade, there was a development of technologies that allowed the possibility of storing and processing large amounts of data. Due to this, there was a considerable increase in the use of video cameras. Areas such as surveillance, traffic control, and entertainment, presented a greater demand for the development of techniques for analysis and automatic classification of videos. Within those areas of application, human activities recognition is considered one of the major problems and is discussed in the scientific environment due to related challenges, such as blurred images, point view changed confusion with background and low resolution. Recently, the Convolutional Neural Networks (CNN) have made considerable advances in several areas of research, improving state of the art in many cases, including images and videos classification problems. Thus, this work aims to develop a 3D CNN for the human actions recognition, as well as a study of the influence of the resolutions of entries in the network. After choosing the model are compared with other works in the area. The results obtained by the model surpassed the state-of-the-art in the bases evaluated and are discussed in this document.","PeriodicalId":144567,"journal":{"name":"2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115795179","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: 11

Parameter selection for swarm intelligence algorithms — Case study on parallel implementation of FSS 群智能算法的参数选择——FSS并行实现的案例研究

2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI) Pub Date : 2017-11-01 DOI: 10.4018/IJSIR.2018100101

B. Menezes, Fabian Wrede, H. Kuchen, Fernando Buarque de Lima-Neto

引用次数: 3