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The Resource Adaptive Biometric Systems : Recent Advances and Challenges

Adaptive Biometric Systems : Recent Advances and Challenges

Label
Adaptive Biometric Systems : Recent Advances and Challenges
Title
Adaptive Biometric Systems
Title remainder
Recent Advances and Challenges
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Subject
Language
eng
Member of
Cataloging source
MiAaPQ
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Advances in Computer Vision and Pattern Recognition Ser
Adaptive Biometric Systems : Recent Advances and Challenges
Label
Adaptive Biometric Systems : Recent Advances and Challenges
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=4068160
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Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface -- Contents -- Contributors -- 1 Introduction to Adaptive Biometric Systems -- 1.1 Introduction -- 1.2 Attributes of the Existing Adaptive Biometric systems -- 1.3 Open Issues and New Research Directions -- 1.4 Conclusion -- References -- 2 Context-Sensitive Self-Updating for Adaptive Face Recognition -- 2.1 Introduction -- 2.2 Self-Updating for Face Recognition -- 2.2.1 A General Face Recognition System -- 2.2.2 Adaptive Biometrics -- 2.2.3 Self-Updating Methods -- 2.3 Self-Updating Driven by Capture Conditions -- 2.3.1 Framework for Context-Sensitive Self-Update -- 2.3.2 A Specific Implementation -- 2.4 Simulation Methodology -- 2.4.1 Face Recognition Databases -- 2.4.2 Protocol -- 2.5 Simulation Results -- 2.5.1 Continuous User Authentication with DIEE Data -- 2.5.2 Video-Surveillance with FIA Data -- 2.5.3 Unconstrained Face Recognition with FRGC Data -- 2.5.4 Summary and Discussions -- 2.6 Conclusion -- References -- 3 Handling Session Mismatch by Semi-supervised-Based Co-training Scheme -- 3.1 Introduction -- 3.1.1 Methodology -- 3.2 Database and Experiments -- 3.2.1 Database -- 3.2.2 BANCA Protocols -- 3.2.3 Baseline Systems -- 3.2.4 Threshold Determination -- 3.3 Results -- 3.3.1 Unimodal Systems -- 3.3.2 Multimodal System -- 3.4 Conclusions -- References -- 4 A Hybrid CRF/HMM for One-Shot Gesture Learning -- 4.1 Introduction -- 4.2 Related Works to Gesture Recognition -- 4.3 Markovian Models -- 4.3.1 Hidden Markov Models (HMM) -- 4.3.2 Conditional Random Fields (CRF) -- 4.4 Hybrid CRF/HMM Model -- 4.4.1 Overview of the CRF/HMM Model -- 4.4.2 Training the CRF/HMM Model -- 4.4.3 Structure and Parametrization of the CRF/HMM Model -- 4.4.4 Decoding Using the CRF/HMM Model -- 4.5 Global Gestures Characterization -- 4.5.1 Characterization with Optical Flows: Gesture Signature -- 4.5.2 Characterization with HOG
  • 4.6 Experimental Protocol -- 4.6.1 Databases -- 4.6.2 Feature Vector Variants -- 4.6.3 Evaluation Metric -- 4.6.4 Implementation Tools -- 4.7 Gesture Recognition Results -- 4.7.1 Evaluation of the Features Quantization for CRF -- 4.7.2 Robustness of the CRF/HMM Approach -- 4.7.3 Evaluation of the CRF/HMM Using the ChaLearn Platform -- 4.8 Conclusion -- References -- 5 An Online Learning-Based Adaptive Biometric System -- 5.1 Introduction -- 5.2 Adaptive Biometrics Literature -- 5.3 Generic Adaptive Learning Methods -- 5.3.1 Ensemble of Classifiers -- 5.3.2 Incremental/Adaptive Support Vector Machines (SVMs) -- 5.3.3 Incremental/Adaptive Neural Network -- 5.4 Experimental Details and Results -- 5.5 Conclusions -- References -- 6 Adaptive Facial Recognition Under Ageing Effect -- 6.1 Introduction -- 6.2 Face Ageing Process -- 6.3 Face Ageing and Template Update -- 6.3.1 Face Template Update Methods -- 6.3.2 Commonly Adopted Learning Methodologies -- 6.3.3 Face Template Update State-of-the-Art -- 6.3.4 Template Ageing, Update and Concept Drift -- 6.4 Experimental Analysis -- 6.4.1 Performance Evaluation of Face Recognition Systems Under Ageing Effects -- 6.4.2 Covariate Analysis -- 6.4.3 Template Ageing as a Concept Drift Problem -- 6.4.4 Evaluation of Template Update Procedures on Facial Ageing -- 6.5 Conclusions -- References -- 7 An Adaptive Score Level Fusion Scheme for Multimodal Biometric Systems -- 7.1 Introduction -- 7.2 Proposed Normalization Scheme -- 7.2.1 Threshold Alignment -- 7.2.2 Score Weighting -- 7.3 Results -- 7.3.1 Experimental Results -- 7.4 Conclusions -- References -- Index
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{'f': 'http://opac.lib.rpi.edu/record=b4384010'}
Extent
1 online resource (141 pages)
Form of item
online
Isbn
9783319248653
Media category
computer
Media MARC source
rdamedia
Media type code
c
Sound
unknown sound
Specific material designation
remote

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