2014 48th Annual Conference on Information Sciences and Systems (CISS)最新文献_第2页

Subjective confidence and source reliability in soft data fusion 软数据融合中的主观置信度与源可靠性

2014 48th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2014-03-19 DOI: 10.1109/CISS.2014.6814173

Donald J. Bucci, Sayandeep Acharya, Timothy J. Pleskac, M. Kam

{"title":"Subjective confidence and source reliability in soft data fusion","authors":"Donald J. Bucci, Sayandeep Acharya, Timothy J. Pleskac, M. Kam","doi":"10.1109/CISS.2014.6814173","DOIUrl":"https://doi.org/10.1109/CISS.2014.6814173","url":null,"abstract":"There is ongoing interest in constructing data fusion systems which are capable of using human (i.e., soft) decisions and confidence assessments as inputs. Most relevant studies involved experimentation with humans which is often expensive, subject to strict institutional regulations, and hard to validate and replicate. Here we make use of a mathematical model of human decision-making and human confidence assessment developed by Pleskac and Busemeyer (2010) in order to compare four types of fusion operators: (1) operators that use human-subject decisions (such as the k-out-of-N majority rule); (2) operators that use subject decisions and error rates (the Chair and Varshney fusion rule); (3) operators that use subject decisions and confidence assessments (Yager's rule and the Proportional Conflict Redistribution rule #5); and (4) operators that use subject decisions, confidence assessments, and the average strength of each subject's confidence assessment, namely the average Brier scores (Dempster's rule of combination and Bayes' rule of probability combination). The ability of each fusion system to discriminate between alternatives was determined by computing the normalized area under the receiver operating characteristic curves (AUC). When the number of sources used by the fusion algorithm exceeded five, fusion operators which made use of decisions and confidence assessments alone (i.e., type (3)) produced the lowest (namely, worst) normalized AUC values. Operators which made use of subject reliabilities (i.e., types (2) and (4)) produced larger (namely, better) normalized AUC values which, in addition, were similar to those of fusion algorithms that relied on decisions alone (i.e., type (1)). For the city size discrimination task studied by Pleskac and Busmeyer, these results suggest that as the number of sources increases, the importance of decision self-assessment diminishes.","PeriodicalId":169460,"journal":{"name":"2014 48th Annual Conference on Information Sciences and Systems (CISS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131036706","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: 4

Delay minimization with channel-adaptive packetization policy for random data traffic 随机数据流量的信道自适应分组策略延迟最小化

2014 48th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2014-03-19 DOI: 10.1109/CISS.2014.6814128

A. Razi, A. Abedi, A. Ephremides

引用次数: 4

On the bit error rate of repeated error-correcting codes 重复纠错码的误码率

2014 48th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2014-03-19 DOI: 10.1109/CISS.2014.6814087

Weihao Gao, Yury Polyanskiy

引用次数: 5

Dynamic best spectral bands selection for face recognition 动态最佳光谱波段选择的人脸识别

2014 48th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2014-03-19 DOI: 10.1109/CISS.2014.6814081

Hamdi Jamel Bouchech, S. Foufou, M. Abidi

{"title":"Dynamic best spectral bands selection for face recognition","authors":"Hamdi Jamel Bouchech, S. Foufou, M. Abidi","doi":"10.1109/CISS.2014.6814081","DOIUrl":"https://doi.org/10.1109/CISS.2014.6814081","url":null,"abstract":"In this paper, face recognition in uncontrolled illumination conditions is investigated. A twofold contribution is proposed. First, three state-of-art algorithms, namely Multiblock Local Binary Pattern (MBLBP), Histogram of Gabor Phase Patterns (HGPP) and Local Gabor Binary Pattern Histogram Sequence (LGBPHS) are evaluated upon the IRIS-M3 face database to study their robustness against a high illumination variation conditions. Second, we propose to use visible multispectral images, provided by the same face database, to enhance the performance of the three mentioned algorithms. To reduce the high data dimensionality introduced by the use of multispectral images, we have designed a system to dynamically select the best spectral bands for each new subject. Our semi-supervised system for best spectral bands selection learn the relation between the recognition performance of each spectral band and its intrinsic quality using techniques of transfer learning and finite mixture of Gaussian for data distribution estimation. The obtained model is function of the image quality, and for each new spectral band, the likelihood ratio test is used to determine if the former belongs to either the set of good spectral bands or bad spectral bands. To the best of our knowledge, this is the first system proposed to dynamically select the best visible spectral bands for face recognition. Our results highlighted further the still challenging problem of face recognition in conditions with high illumination variation, as well as the effectiveness of our subspectral images based approach to increase the accuracy of the studied algorithms by at least 21.66 % upon the proposed database. Finally, our dynamic system has shown a superiority of performance over non-dynamic systems developed for the same face database.","PeriodicalId":169460,"journal":{"name":"2014 48th Annual Conference on Information Sciences and Systems (CISS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124893146","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: 6

Output decisions for stochastic LDPC decoders 随机LDPC解码器的输出决策

2014 48th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2014-03-19 DOI: 10.1109/CISS.2014.6814072

Kuo-Lun Huang, V. Gaudet, M. Salehi

引用次数: 8

Software-Defined Access Network (SDAN) 软件定义接入网(SDAN)

2014 48th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2014-03-19 DOI: 10.1109/CISS.2014.6814134

K. Kerpez, G. Ginis

引用次数: 16

Unsupervised active contour model for multiphase inhomogeneous image segmentation 多相非均匀图像分割的无监督主动轮廓模型

2014 48th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2014-03-19 DOI: 10.1109/CISS.2014.6814164

Yunyun Yang, Yi Zhao, Boying Wu, Hongpeng Wang

引用次数: 0

Best-arm identification algorithms for multi-armed bandits in the fixed confidence setting 固定置信度下多臂强盗的最佳臂识别算法

2014 48th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2014-03-19 DOI: 10.1109/CISS.2014.6814096

Kevin G. Jamieson, R. Nowak

引用次数: 160

Transmission of correlated Gaussian samples over a multiple-access channel 相关高斯样本在多址信道上的传输

2014 48th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2014-03-19 DOI: 10.1109/CISS.2014.6814111

Ayşe Ünsal, R. Knopp

引用次数: 3

Fading channels in energy-harvesting receivers 能量收集接收机中的衰落信道

2014 48th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2014-03-19 DOI: 10.1109/CISS.2014.6814126

H. Mahdavi-Doost, R. Yates

引用次数: 25