2013 11th International Conference on Frontiers of Information Technology最新文献_第4页

Locality Features Encoding in Regularized Linear Representation Learning for Face Recognition 正则化线性表示学习在人脸识别中的局部特征编码

2013 11th International Conference on Frontiers of Information Technology Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.42

Waqas Jadoon, Haixian Zhang

{"title":"Locality Features Encoding in Regularized Linear Representation Learning for Face Recognition","authors":"Waqas Jadoon, Haixian Zhang","doi":"10.1109/FIT.2013.42","DOIUrl":"https://doi.org/10.1109/FIT.2013.42","url":null,"abstract":"Regularized linear regression based representation techniques for face recognition (FR) have attracted a lot of attention in past years. The l1-regularized sparse representation based classification (SRC) method achieves state-of-the-art results in FR. However, recently several studies have shown the role of collaborative representation (CR) that plays a crucial role for the success of SRC in robust classification and not the l1-regularization constraints on representation. In this paper, we propose a novel Robust Locality based Collaborative Representation (RLCR) method using weighted regularized least square regression approach that incorporates the locality structure and feature variance among data elements into linear representation. RLCR is an extension of collaborative representation based classification (CRC) approach, a recently proposed fast alternative to SRC. The performance of CRC method dramatically decreases when the feature dimension is low or the number of training samples per subject is limited. RLCR improves classification performance over that of original CRC formulation. Experimental results on real world face datasets using low dimensional as well as high dimensional linear feature space have demonstrated the effectiveness of the proposed method and is found to be very competitive with the state-of-the-art image classification methods.","PeriodicalId":179067,"journal":{"name":"2013 11th International Conference on Frontiers of Information Technology","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133469103","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

An Experimental Study on the Behavior of Received Signal Strength in Indoor Environment 室内环境下接收信号强度变化特性的实验研究

2013 11th International Conference on Frontiers of Information Technology Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.54

K. Ullah, Igor Vitorio Custodio, Nadir Shah, E. Moreira

{"title":"An Experimental Study on the Behavior of Received Signal Strength in Indoor Environment","authors":"K. Ullah, Igor Vitorio Custodio, Nadir Shah, E. Moreira","doi":"10.1109/FIT.2013.54","DOIUrl":"https://doi.org/10.1109/FIT.2013.54","url":null,"abstract":"Due to widespread availability of WiFi networks in buildings, indoor location based systems become a reality. To provide indoor location based services (LBS), finding the current location of a human, a computer, a mobile device or equipment such as a small UAV (like Quad copter) is of great interest. The most prominent method for this purpose is the received signal strength (RSS)-based location from WiFi Access Points (APs) inside a building. Considerable amount of research is carried out in estimating current location and providing different services based on different wireless technologies. On the other hand, little attention has been paid to study and analyze the behavior of the received signal strength itself. It is challenging because the intensity of signal can change very frequently due to environmental features like topology, temperature, interaction with objects etc. In this paper, we study the behavior of WiFi signals in an indoor environment for RSS based localization by analyzing signals from three different access points by using triangulation technique. Our method is based on fingerprinting method. The experimental results reveal that the behavior of signal changes very frequently. The results lead us to the conclusion that understanding signals behavior is important before estimating current location and providing different LBS.","PeriodicalId":179067,"journal":{"name":"2013 11th International Conference on Frontiers of Information Technology","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124933018","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: 7

On the Fly Test Suite Optimization with FuzzyOptimizer 在飞行测试套件优化与FuzzyOptimizer

2013 11th International Conference on Frontiers of Information Technology Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.26

A. A. Haider, A. Nadeem, S. Rafiq

{"title":"On the Fly Test Suite Optimization with FuzzyOptimizer","authors":"A. A. Haider, A. Nadeem, S. Rafiq","doi":"10.1109/FIT.2013.26","DOIUrl":"https://doi.org/10.1109/FIT.2013.26","url":null,"abstract":"There occur frequent requirement changes in software systems even after the software has been developed. Regression testing is continuously performed to identify the undesired affects of these requirement changes on already tested system. Test suites grow enormously with these changes due to addition of new test cases for enhanced functionality. Optimization of test suite to perform regression testing within the budgetary and time restrictions is ultimate choice for a tester because \"Retest all\" test suite is un-economical and is not suitable choice. Test suite optimization can be either static or on the fly. With on the fly optimization, optimal suite keeps on changing with the requirement changes. On the fly optimization of test suite is preferable option for regression testing. Presently, static test suite optimization approaches exist. We have proposed an application specific, on the fly optimization approach for test suite optimization problem. We have implemented our approach on an academic testing problem. We use fuzzy logic to optimize the test suite with multiple optimization objectives. Our approach has been successful to generate on the fly optimized test suites for changing requirements. In future, we will implement this approach on considerably large sized testing problems.","PeriodicalId":179067,"journal":{"name":"2013 11th International Conference on Frontiers of Information Technology","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114534274","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: 8

bugMLX: Extended Software Bug Markup Language bugMLX:扩展软件Bug标记语言

2013 11th International Conference on Frontiers of Information Technology Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.47

Muhammad Bilal Bashir, Misbah Masood, Abdul Qadir, Umm-E.-Humaira, Maria Batool, Umar Abbas

引用次数: 0

Signal Processing Requirements and System Design for Sensor Arrays Using COTS Components 采用COTS元件的传感器阵列信号处理要求与系统设计

2013 11th International Conference on Frontiers of Information Technology Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.36

U. Hamid, Syed Ali Abbas

引用次数: 3

An Adaptive Learning Automata for Genetic Operators Allocation Probabilities 遗传算子分配概率的自适应学习自动机

2013 11th International Conference on Frontiers of Information Technology Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.18

Korejo Imtiaz Ali, K. Brohi

引用次数: 4

SOAD: Securing Oncology EMR by Anonymizing DICOM Images SOAD:通过匿名DICOM图像保护肿瘤电子病历

2013 11th International Conference on Frontiers of Information Technology Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.30

Sidra Shahbaz, Asiah Mahmood, Z. Anwar

引用次数: 6

A novel approach for ensemble clustering of colon biopsy images 结肠活检图像集成聚类的新方法

2013 11th International Conference on Frontiers of Information Technology Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.12

Saima Rathore, M. A. Iftikhar, M. Hussain, A. Jalil

{"title":"A novel approach for ensemble clustering of colon biopsy images","authors":"Saima Rathore, M. A. Iftikhar, M. Hussain, A. Jalil","doi":"10.1109/FIT.2013.12","DOIUrl":"https://doi.org/10.1109/FIT.2013.12","url":null,"abstract":"Colon cancer diagnosis based on microscopic analysis of biopsy sample is a common medical practice. However, the process is subjective, biased and leads to interobserver variability. Further, histopathologists have to analyze many biopsy samples per day. Therefore, factors such as tiredness, experience and workload of histopathologists also affect the diagnosis. These shortcomings require a supporting system, which can help the histopathologists in accurately determining cancer. Image segmentation is one of the techniques, which can help in efficiently segregating colon biopsy image into constituent regions, and accurately localizing the cancer. In this work, we propose a novel colon biopsy image segmentation technique, wherein segmentation has been posed as a classification problem. Local binary patterns (LTP), local ternary patters (LTP), and Haralick features are extracted for each pixel of colon biopsy images. Features are reduced using genetic algorithms and F-Score. Reduced features are given as input to random forest, rotation forest, and rotation boost classifiers for segregation of image into normal, malignant and connecting tissues components. The clustering performance has been evaluated using segmentation accuracy and Davies bouldin index (DBI). Performance of classifiers has also been evaluated using receiver operating characteristics (ROC) curves, and area under the curve (AUC). It is observed that rotation boost in combination with F-Score has shown better results in segmenting the images compared to other classifiers.","PeriodicalId":179067,"journal":{"name":"2013 11th International Conference on Frontiers of Information Technology","volume":"6 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131496114","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: 10

Foreground Object Detection and Tracking for Visual Surveillance System: A Hybrid Approach 视觉监视系统的前景目标检测与跟踪:一种混合方法

2013 11th International Conference on Frontiers of Information Technology Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.10

S. Oh, S. Javed, Soon Ki Jung

引用次数: 7

Evaluating Security of Software Components Using Analytic Network Process 用网络分析法评估软件组件的安全性

2013 11th International Conference on Frontiers of Information Technology Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.41

S. Nazir, Sara Shahzad, M. Nazir, Hanif ur Rehman

引用次数: 17