A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2006; you can also visit the original URL.
The file type is application/pdf.
Filters
Decision templates for multiple classifier fusion: an experimental comparison
2001
Pattern Recognition
Preserved Fulltext
Multiple classifier fusion may generate more accurate classification than each of the constituent classifiers. Fusion is often based on fixed combination rules like the product and average. ...
We present here a simple rule for adapting the class combiner to the application. c decision templates (one per class) are estimated with the same training set that is used for the set of classifiers. ...
Fusion techniques used for comparison
Techniques for crisp individual labels C1: Majority vote. ...
doi:10.1016/s0031-3203(99)00223-x
fatcat:ra66kywynfdyfbjpwrwjgltpiu
Combining Fingerprint and Voiceprint Biometrics for Identity Verification: an Experimental Comparison
[chapter]
2004
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Combining multiple biometrics may enhance the performance of personal authentication system in accuracy and reliability. ...
The experimental results show that Support Vector Machine and the Dempster-Shafer method are superior to other schemes. ...
Conclusion Fusion of multiple biometrics has recently gained more interests with an increasing emphasis on security. ...
doi:10.1007/978-3-540-25948-0_90
fatcat:vezpo4dqynhrla5vksvdrzjkxq
An Experimental Comparison of Different Methods for Combining Biometric Identification Systems
[chapter]
2011
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
In this paper, we experimentally compare the behavior of different rules for integrating different biometric identification systems. ...
We considered trained and fixed fusion methods at score, rank and decision level. ...
Fusion Approaches at Score-Level Fusion at match score level concerns combining the match scores generated by multiple classifiers in order to make a decision about the identity of the subject. ...
doi:10.1007/978-3-642-24088-1_27
fatcat:7tkuqwtrezar7nisabyo6tamoi
Information fusion in biometrics
2003
Pattern Recognition Letters
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2006; you can also visit the original URL.
The file type is application/pdf.
However, an effective fusion scheme is necessary to combine the information presented by multiple domain experts. ...
Further, multibiometric systems provide anti-spoofing measures by making it difficult for an intruder to spoof multiple biometric traits simultaneously. ...
Multiple biometric fusion Multibiometric fusion refers to the fusion of multiple biometric indicators. ...
doi:10.1016/s0167-8655(03)00079-5
fatcat:2g3yqzec7zgjvlxnw5stk73hme
Information Fusion in Biometrics
[chapter]
2001
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2006; you can also visit the original URL.
The file type is application/pdf.
However, an effective fusion scheme is necessary to combine the information presented by multiple domain experts. ...
Further, multibiometric systems provide anti-spoofing measures by making it difficult for an intruder to spoof multiple biometric traits simultaneously. ...
Multiple biometric fusion Multibiometric fusion refers to the fusion of multiple biometric indicators. ...
doi:10.1007/3-540-45344-x_52
fatcat:vrux6ntqvbhlbakkasfesxysr4
Decision Fusion for Face Authentication
[chapter]
2004
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2007; you can also visit the original URL.
The file type is application/pdf.
In this paper we study two aspects of decision fusion for enhancing face authentication. ...
First, sequential fusion of scores obtained on successive video frames of a user's face is used to reduce the error rate. ...
A performance comparison between this approach and the sequential fusion presented in this paper could be an interesting future study. ...
doi:10.1007/978-3-540-25948-0_93
fatcat:iccf54y32rfmhlt3qgml44rbfy
Designing classifier fusion systems by genetic algorithms
2000
IEEE Transactions on Evolutionary Computation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We suggest two simple ways to use a genetic algorithm (GA) to design a multiple-classifier system. ...
The multiple-classifier systems designed with the two GAs were compared against classifiers using: 1) all features; 2) the best feature subset found by the sequential backward selection (SBS) method; and ...
Architecture of the decision templates classifier fusion scheme. ...
doi:10.1109/4235.887233
fatcat:lxdtxjip55hezavzcwqd754xoi
A Multiple Classifier Fusion Algorithm Using Weighted Decision Templates
2016
Scientific Programming
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
From fully considering the classifier performance differences and the training sample information, a multiple classifier fusion algorithm using weighted decision templates is proposed in this paper. ...
An experimental comparison was performed on 15 data sets from the KDD'99, UCI, and ELENA databases. The experimental results indicate that the algorithm can achieve better classification performance. ...
Therefore, the study of multiple classifier fusion is still an open problem. ...
doi:10.1155/2016/3943859
fatcat:v6dcnhjtpfag7ahelggmb5co64
Comparing early and late data fusion methods for gene expression prediction
2010
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
promoter regions is an oversimplification as pointed out by recent findings demonstrating the existence of many regulatory levels involved in the fine modulation of gene transcription levels. ...
Even if encouraging results were obtained in gene expression patterns prediction experiments the assumption that all the signals required for the regulation of gene expression are contained in the gene ...
The author would also like to expressly thank Giorgio Valentini for the examination of early versions of the manuscript. ...
doi:10.1007/s00500-010-0599-6
fatcat:7egzfl2vovfdvb3vf43vj23aga
A decision fusion method based on multiple support vector machine system for fusion of hyperspectral and LIDAR data
2014
International Journal of Image and Data Fusion
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Fusion of remote sensing data from multiple sensors has been remarkably increased for classification. ...
The proposed method applied a support vector machine (SVM)-based classifier fusion system for fusion of hyperspectral and LIDAR data in the decision level. ...
sets used in this study and the IEEE GRSS Data Fusion Technical Committee for organising the 2013 Data Fusion Contest. ...
doi:10.1080/19479832.2014.919964
fatcat:fac6nxytmbbudgm4ambiwyb4ai
Using Data Fusion For Biometric Verification
2007
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Strategies for feature extraction and sensor fusion are considered and contrasted. Issues related to performance assessment, deployment and standardization are discussed. ...
A wide spectrum of systems require reliable personal recognition schemes to either confirm or determine the identity of an individual person. ...
Specific features are extracted from the biometric samples to form templates for future comparisons. b) The templates thus obtained are stored for future comparison. ...
doi:10.5281/zenodo.1058001
fatcat:5dps4rrfu5ainnvgy32ep22ydm
Ethnicity classification based on gait using multi-view fusion
2010
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
Feature fusion, score fusion and decision fusion from multiple views of gait are explored. ...
The classification rate is improved by fusing multiple camera views and a comparison among different fusion schemes shows that the MPCA based feature fusion performs the best. ...
Figure 2 . 2 The basic frames of the fusion schemes used in this paper for comparison: (a) fusion at feature level, (b) fusion at score level, (c) fusion at decision level. ...
doi:10.1109/cvprw.2010.5544614
dblp:conf/cvpr/ZhangWB10
fatcat:aq24tkdcrfezpdnyzhnrxb5e64
Multi-algorithm fusion with template protection
2009
2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
In this work we analyze fusion of the protected template from two 3D recognition algorithms (multi-algorithm fusion) at feature-, score-, and decision-level. ...
We experimentally determine the performance of different fusion methods at each level. ...
The comparison within the Fusion Classifier module can occur at different levels, namely at feature-, score-, or decision-level. ...
doi:10.1109/btas.2009.5339045
fatcat:jodvaigmkbcadobl2javukcta4
Fusion in Multimodal Biometric System: A Review
2017
Indian Journal of Science and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Score level, feature level, rank level and decision fusion is followed by feature optimization using methods such as genetic algorithms and artificial neural networks. ...
These methods vary in efficiency and are highly dependant upon the selection of type of biometric chosen for fusion. ...
Proposed algorithm iteratively generates ranks for each partition of the user template. Finally, ranks from template partitions were fused to evaluate the fusion rank for the classification. ...
doi:10.17485/ijst/2017/v10i19/114382
fatcat:tern7losm5gfhaw6jjmw54r4mm
Fusion of Iris Segmentation Results
[chapter]
2013
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This paper introduces the concept of multi-segmentation fusion for combining independent iris segmentation results. ...
Fusion at segmentation level is useful to (1) obtain more robust recognition rates compared to single segmentation; (2) avoid additional storage requirements compared to feature-level fusion, and (3) save ...
sample) or verification mode (1-to-1 comparison to justify the authenticity of an identification claim as genuine or imposter ), this fusion type consolidates the outcome of individual decision processes ...
doi:10.1007/978-3-642-41827-3_39
fatcat:c567ytg56ng3hpvm46f5d7ti6u
« Previous
Showing results 1 — 15 out of 12,535 results