2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA)最新文献

Approach to identifying out-of-control variables in multivariate T2 control chart using AIC 多变量T2控制图中失控变量的AIC识别方法

2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2013-07-13 DOI: 10.1109/IWCIA.2013.6624780

Y. Takemoto, Rumi Tanaka, I. Arizono

引用次数: 0

Genetic programming with multiple initial populations generated by simulated annealing 模拟退火生成多初始种群的遗传规划

2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2013-07-13 DOI: 10.1109/IWCIA.2013.6624797

Takuya Mototsuka, Akira Hara, J. Kushida, T. Takahama

引用次数: 1

Hierarchical modular reinforcement learning method and knowledge acquisition of state-action rule for multi-target problem 多目标问题状态-行为规则的分层模块化强化学习方法及知识获取

2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2013-07-13 DOI: 10.1109/IWCIA.2013.6624799

T. Ichimura, Daisuke Igaue

引用次数: 2

Scene classification using color and structure-based features 使用基于颜色和结构的特征进行场景分类

2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2013-07-13 DOI: 10.1109/IWCIA.2013.6624817

K. Shimazaki, T. Nagao

{"title":"Scene classification using color and structure-based features","authors":"K. Shimazaki, T. Nagao","doi":"10.1109/IWCIA.2013.6624817","DOIUrl":"https://doi.org/10.1109/IWCIA.2013.6624817","url":null,"abstract":"Study of scene understanding is a significant challenge. Many conventional methods proposed by these studies have been used or applied for many fields, for instance, scene recognition system for digital camera, similar image retrieval system on websites, and robot vision for autonomous or assist robots. From above, scene understanding is important, however it is as difficult as generic object recognition due to the diversity of categories. Many conventional methods have been proposed, and these focus on color or spatial frequency features in images. Especially, scene classification using features of spatial frequency show efficacy. Seen from the results of these studies, it seems that there is common features within a same scene. In this paper we proposed scene classification method with a focus on the structure of scene. We define the structure of scene as a set of lines in images and calculate these features using Hough space acquired by applying Hough transform to images. In addition, we calculate color features and combine those features. By using these two features we generate two strong classifiers with Boosting algorithm, and combine the results of each strong classifier. To test our approach, we executed two classes classification of scenes for each category using scene classification dataset. The results show that our approach is effective for several scenes especially the scene with artifacts.","PeriodicalId":257474,"journal":{"name":"2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116988446","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

Detection of electrical stimulation position in recorded surgery videos of cortical mapping in awake brain surgery 清醒脑外科皮层定位术录像中电刺激位置的检测

2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2013-07-13 DOI: 10.1109/IWCIA.2013.6624800

M. Suganuma, T. Nagao

{"title":"Detection of electrical stimulation position in recorded surgery videos of cortical mapping in awake brain surgery","authors":"M. Suganuma, T. Nagao","doi":"10.1109/IWCIA.2013.6624800","DOIUrl":"https://doi.org/10.1109/IWCIA.2013.6624800","url":null,"abstract":"Awake brain surgery is performed for the purpose of preserving brain functions and removing brain tumors as possible when the tumors are in or near the eloquent area like the language area and the motor area. In this surgery, detecting functionally essential cortical areas is important process which is performed with direct electrical stimulation using an electrode by surgeons, and this process is called cortical mapping. Cortical mapping requires sophisticated techniques of surgeons because it needs a lot of experience and knowledge for selecting electrical stimulation position and current intensity. Hence it is needed to extract techniques of expert surgeons by analyzing recorded surgery videos performed by expert surgeons. Surgery videos recoded during operations, however, are not suitable for analysis due to these videos are recorded for postoperative evaluation. Then tagging specific scenes like electrical stimulation has been performed in manual with a lot of labor. Therefore, in this paper, we propose a method to automatically detect the position of electrical stimulation in surgery videos of cortical mapping. The proposed method employs the shape characteristics of an electrode, a classifier using Real AdaBoost and a tracking using mean-shift algorithm. We apply the proposed method to three different recorded surgery videos, and experimental results show that our method detects the tip of an electrode with high accuracy.","PeriodicalId":257474,"journal":{"name":"2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA)","volume":"32 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128717912","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

Location-based burst detection algorithm for georeferenced document streams based on user's moving direction 基于用户移动方向的基于位置的文档流突发检测算法

2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2013-07-13 DOI: 10.1109/IWCIA.2013.6624784

Tomoki Matsui, Keiichi Tamura, H. Kitakami

引用次数: 0

A method using linguistic and acoustic features to detect inadequate utterances in medical communication 一种利用语言和声学特征来检测医学交流中不恰当话语的方法

2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2013-07-13 DOI: 10.1109/IWCIA.2013.6624814

Michihisa Kurisu, Kazuya Mera, Ryunosuke Wada, Y. Kurosawa, T. Takezawa

引用次数: 0

Constraint propagation + Ant Colony Optimization for automated school timetabling 约束传播+蚁群优化的自动化学校排课

2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2013-07-13 DOI: 10.1109/IWCIA.2013.6624795

M. Koshino, Takahiro Otani

引用次数: 0

Interval-valued differential evolution for evolving neural networks with interval weights and biases 具有区间权值和偏差的演化神经网络的区间值微分演化

2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2013-07-13 DOI: 10.1109/IWCIA.2013.6624789

H. Okada

引用次数: 3

A study of the evacuation behavior simulation to investigate the effect of concessions and obstacles 对疏散行为进行仿真研究，探讨让步和障碍物对疏散行为的影响

2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA) Pub Date : 2013-07-13 DOI: 10.1109/IWCIA.2013.6624785

K. Tani, Y. Maeda, Nao Ito

引用次数: 3