2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA)最新文献_第3页

Analysis and predicting electricity energy consumption using data mining techniques — A case study I.R. Iran — Mazandaran province 使用数据挖掘技术分析和预测电力能源消耗-以伊朗马赞达兰省为例

2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA) Pub Date : 2015-03-11 DOI: 10.1109/PRIA.2015.7161634

Noorollah Karimtabar, Sadegh Pasban, S. Alipour

引用次数: 12

Fast and robust L0-tracker using compressive sensing 使用压缩感知的快速鲁棒l0跟踪器

2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA) Pub Date : 2015-03-11 DOI: 10.1109/PRIA.2015.7161614

M. Javanmardi, M. Yazdi, M. Shirazi

引用次数: 1

A new robust semi-blind image watermarking based on block classification and visual cryptography 基于块分类和视觉密码的鲁棒半盲图像水印

2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA) Pub Date : 2015-03-11 DOI: 10.1109/PRIA.2015.7161650

Ali Fatahbeygi, F. Akhlaghian

引用次数: 4

Expression recognition using directional gradient local pattern and gradient-based ternary texture patterns 基于方向梯度的局部模式和基于梯度的三元纹理模式的表情识别

2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA) Pub Date : 2015-03-11 DOI: 10.1109/PRIA.2015.7161615

Z. Shokoohi, Ramin Bahmanjeh, K. Faez

{"title":"Expression recognition using directional gradient local pattern and gradient-based ternary texture patterns","authors":"Z. Shokoohi, Ramin Bahmanjeh, K. Faez","doi":"10.1109/PRIA.2015.7161615","DOIUrl":"https://doi.org/10.1109/PRIA.2015.7161615","url":null,"abstract":"Facial expression is an important channel in human communication. Therefore, the problem of facial expression recognition (FER) attracts the growing attention of the research community in the recent years. In this context, the critical point for is the possibility to detect accurately the emotional features. An effective facial feature descriptor is an important issue in the design of a successful expression recongnition algorithm. Although recently there have been certain progress in this domain, extracting a face feature descriptor stable under changing environment is still a difficult task. In this paper, we illustrate empirically the algorithm of person-independent facial expression recognition based on statistical local features such as Directional gradient Local Pattern (DGLP) and gradient local ternary pattern (GLTP). The combined DGLP and GLTP operator encodes the local texture of an image by computing the gradient magnitudes of local neighborhood as well as the angle of direction of the edge and converts those values into feature vector. The results obtained indicate that the combined DGLP and GLTP method performs better than other methods used for facial expression recognition problems in high-textured facial regions.","PeriodicalId":163817,"journal":{"name":"2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115573029","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

Batch color classification using bag of colors and discriminative sparse coding 采用颜色包和判别稀疏编码进行批量颜色分类

2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA) Pub Date : 2015-03-11 DOI: 10.1109/PRIA.2015.7161620

M. Soltani-Sarvestani, Azimifar Zohreh

引用次数: 3

Intelligent feature subset selection with unspecified number for body fat prediction based on binary-GA and Fuzzy-Binary-GA 基于二值遗传算法和模糊二值遗传算法的体脂预测智能特征子集选择

2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA) Pub Date : 2015-03-11 DOI: 10.1109/PRIA.2015.7161651

Farshid Keivanian, N. Mehrshad

引用次数: 4

An analytical review for event prediction system on time series 基于时间序列的事件预测系统分析综述

2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA) Pub Date : 2015-03-11 DOI: 10.1109/PRIA.2015.7161635

Soheila Molaei, M. Keyvanpour

{"title":"An analytical review for event prediction system on time series","authors":"Soheila Molaei, M. Keyvanpour","doi":"10.1109/PRIA.2015.7161635","DOIUrl":"https://doi.org/10.1109/PRIA.2015.7161635","url":null,"abstract":"This Time series mining is a new area of research in temporal databases and has been an active area of research with its notable recent progress. Event prediction is one of the main goals of time series mining which have important roles for appropriate decision making in different application area. So far, different studies have been presented in the field of time series mining for meaningful events prediction, which have ample challenges. Lack of systematic identification of challenges causes some obstacles for the development of methods. In this paper, due to the abundance and diversity of challenges in event prediction system on time series, lack of a perfect platform for their systematic identification and removing barriers for the development of methods, a classification is proposed for challenging problems of event prediction system on time series. Also, reviewed and analyzed the application of data mining techniques for solving different challenges in event prediction system on time series. For this goal, the article tries to closely study and categorize related researches for better understanding and to reach a comparison structure that can map data mining techniques into the event prediction challenges. The proposed classification of this paper by introducing systematic challenges can help create different research pivots for the elimination of challenges in different areas of applying and developing methods. We think that this paper can help researchers in event prediction systems on time series for the future activities.","PeriodicalId":163817,"journal":{"name":"2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134393746","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: 23

Weighted Vote Fusion in prototype random subspace for thermal to visible face recognition 基于原型随机子空间的加权投票融合热到可见人脸识别

2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA) Pub Date : 2015-03-11 DOI: 10.1109/PRIA.2015.7161647

Samira Reyhanian, E. Arbabi

引用次数: 5

Vehicle counting method based on digital image processing algorithms 基于数字图像处理算法的车辆计数方法

2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA) Pub Date : 2015-03-11 DOI: 10.1109/PRIA.2015.7161621

Ali Tourani, A. Shahbahrami

引用次数: 16

Medical images stabilization using sparse-induced similarity measure 使用稀疏诱导相似度量的医学图像稳定

2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA) Pub Date : 2015-03-11 DOI: 10.1109/PRIA.2015.7161624

A. Hariri, Soroush Arabshahi, A. Ghafari, E. Fatemizadeh

引用次数: 1