2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)最新文献_第4页

Regularization convex optimization method with l-curve estimation in image restoration 基于l曲线估计的正则化凸优化图像恢复方法

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993358

A. Rashno, F. Tabataba, S. Sadri

引用次数: 6

Hyperspectral image classification via within class similarity for limited training samples problem 基于类内相似度的有限训练样本高光谱图像分类问题

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993375

Reza Seifi Majdar, H. Ghassemian

{"title":"Hyperspectral image classification via within class similarity for limited training samples problem","authors":"Reza Seifi Majdar, H. Ghassemian","doi":"10.1109/ICCKE.2014.6993375","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993375","url":null,"abstract":"In hyperspectral image classification, finding the best criterion for separating classes and assign a accurate label to pixels is a major challenge. In traditional classification methods, as SVM, SAM, KNN the uniform criterion is considered for separating the classes as margin, angle, distance, etc. In classification process the distance between unlabeled pixel and a class is calculated. The minimum distance between unlabeled pixel and each class is the main criterion for labeling the pixel. In this paper a simple method based on the within class similarity is proposed for hyperspectral images classification that is proper for limited training samples problem. At first, the best specification of a class is explored based on the training samples, although this specification for each class can be different. Later, unlabeled pixel is added to the training samples of either class for recalculation of each one. Now this specification is compared with the former specification. The unlabeled pixel belongs to the class with minimum difference between former and later specification. Experimental results outcomes, based on the hyperspectral images, represent the effectiveness of this method.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127772210","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

Network security risk mitigation using Bayesian decision networks 基于贝叶斯决策网络的网络安全风险缓解

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993444

Masoud Khosravi-Farmad, Razieh Rezaee, A. Harati, A. G. Bafghi

{"title":"Network security risk mitigation using Bayesian decision networks","authors":"Masoud Khosravi-Farmad, Razieh Rezaee, A. Harati, A. G. Bafghi","doi":"10.1109/ICCKE.2014.6993444","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993444","url":null,"abstract":"Network security risk assessment and mitigation are two processes in the risk management framework which need to be done accurately to improve the overall security level of a network. In this paper, in order to increase the accuracy of vulnerability exploitation probability estimation in the risk assessment phase, in addition to inherent characteristics of vulnerabilities, their temporal characteristics are also considered. In the risk mitigation phase, Bayesian decision networks are used to model interconnections between vulnerabilities that enable the attacker to achieve a particular goal, the security countermeasures covering these vulnerabilities, their cost of implementation and resulted outcome. Using Bayesian decision networks, our approach yields scalability and integration of risk assessment and mitigation processes. A cost-benefit analysis is done to identify the minimum-cost hardening security measures in situations where the allocated budget for network security hardening is limited. The experimental results show that the proposed method effectively improves the security level of a test network in terms of determining the optimal security risk mitigation plans.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133859327","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: 14

A new complete heuristic approach for ant rendezvous problem 蚁群集合问题的一种新的完全启发式方法

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993470

M. Famouri, A. Hamzeh

引用次数: 1

A low power VLSI compatible approach for retina tree biometric matching 视网膜树生物特征匹配的低功耗VLSI兼容方法

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993423

F. Amini, M. Habibi, P. Moallem

引用次数: 0

Human articulated body parts bending motion classification based on Dictionary-Learning Sparse Representation 基于字典学习稀疏表示的人体关节部位弯曲运动分类

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993438

Lida Asgharian, Hoseein Ebrahimnezhad

引用次数: 0

A new scalable parallel spatial filter implementation based on data flow graph 一种新的基于数据流图的可扩展并行空间滤波器实现

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993355

Mostafa Koraei, A. Teymouri, S. M. Fakhraie

引用次数: 1

Reversed-Mel cepstrum based audio steganalysis 基于倒频谱的音频隐写分析

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993347

Hamzeh Ghasemzadeh, M. Arjmandi

引用次数: 16

An effective hybrid model based on PSO-SVM algorithm with a new local search for feature selection 基于PSO-SVM算法的有效混合模型和一种新的局部搜索特征选择方法

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993448

E. Eslami, M. Eftekhari

引用次数: 4

Multiple human tracking using PHD filter in distributed camera network 分布式摄像机网络中基于PHD滤波的多人跟踪

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993415

Mohammad Khazaei, M. Jamzad

引用次数: 4