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1.

図書

図書
edited by Harry Wechsler ... [et al.]
出版情報: Berlin : Springer, c1998  ix, 636 p. ; 24 cm
シリーズ名: NATO ASI series ; ser. F . Computer and systems sciences ; no. 163
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2.

図書

図書
edited by Vladimir Cherkassky, Jerome H. Friedman, Harry Wechsler
出版情報: Berlin ; Tokyo : Springer-Verlag, c1994  xii, 394 p. ; 25 cm
シリーズ名: NATO ASI series ; Series F . Computer and systems sciences ; v. 136
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3.

図書

図書
edited by Arun K. Sood, Harry Wechsler
出版情報: Berlin ; New York : Springer-Verlag, c1992  ix, 756 p. ; 25 cm
シリーズ名: NATO ASI series ; ser. F . Computer and systems sciences ; v. 83
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4.

図書

図書
edited by Harry Wechsler
出版情報: Boston : Academic Press
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5.

図書

図書
edited by Harry Wechsler
出版情報: Boston : Academic Press, c1992  xix, 363 p. ; 24 cm
シリーズ名: Neural networks for perception / edited by Harry Wechsler ; v. 2
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6.

電子ブック

EB
Harry Wechsler
出版情報: Springer eBooks Computer Science , Springer US, 2007
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目次情報: 続きを見る
Preface
Introduction / 1:
Tasks and Protocols / 1.1:
Biometrics System Design / 1.2:
History / 1.3:
Road Map / 1.4:
The Human Face / 2:
Cognitive Neurosciences / 2.1:
Psychophysics / 2.2:
The Social Face / 2.3:
Aesthetics and Arts / 2.4:
Modeling and Prediction / 3:
Bayesian Inference / 3.1:
Connectionism / 3.2:
Regularization / 3.3:
Structural Risk Minimization / 3.4:
Transduction / 3.5:
Generative and Discriminative Methods / 3.6:
Data Collection / 4:
Sensing / 4.1:
Standards / 4.2:
Data Compression / 4.3:
Face Representation / 5:
The Face Space / 5.1:
Scale Space / 5.2:
Invariance / 5.3:
Subspace Methods / 5.4:
Feature Selection / 5.5:
Caricatures / 5.6:
Kernel Methods / 5.7:
Color / 5.8:
Face Recognition / 6:
Metrics / 6.1:
Verification and Identification / 6.2:
Open Set Recognition / 6.3:
Watch List and Surveillance / 6.4:
Recognition-by-Parts / 6.5:
Face Selection / 6.6:
Categorization / 6.7:
Morphometrics / 6.8:
Face in a Crowd / 7:
Face Detection / 7.1:
Eye Detection / 7.2:
Uncertainty / 7.3:
Active Learning and Evidence Accumulation / 7.4:
Video Break Detection and Key Frame Extraction / 7.5:
Pose Detection and Manifolds / 7.6:
Tracking and Recognition from Video / 7.7:
Spatio-Temporal Subspace Analysis Using 3D ICA / 7.8:
3D / 8:
Analysis by Synthesis / 8.1:
Animation / 8.3:
Modeling and Recognition / 8.4:
Data Fusion / 9:
Multiple Cues / 9.1:
Multiple Engines / 9.2:
Voting Schemes / 9.3:
Multiple Samples / 9.4:
Multimodal Sensory Integration / 9.5:
Soft Biometrics / 9.6:
Boosting and Strangeness / 9.7:
Denial and Deception / 10:
Human Biases / 10.1:
Camouflage / 10.2:
Aliveness Detection / 10.3:
Hallucinations / 10.4:
Asymmetric Faces / 10.5:
Adaptive and Robust Correlation Filters / 10.6:
Associative, Distributed and Holographic Memories / 10.7:
Augmented Cognition / 11:
Paralanguage / 11.1:
Face Expressions / 11.2:
W5+ / 11.3:
Performance Evaluation / 12:
Figures of Merit / 12.1:
Score Normalization / 12.2:
Decision Thresholds / 12.3:
Comparative Assessment / 12.4:
Data Bases / 12.5:
Virtual Samples / 12.6:
Error Analysis / 13:
Confidence Intervals / 13.1:
Prevalence and Fallacies / 13.2:
Pattern Specific Error Inhomogeneities / 13.3:
Large Scale Biometric Evaluations / 13.4:
Security and Privacy / 14:
Diversity and Uniqueness / 14.1:
Regeneration of Face Images from Biometric Templates / 14.2:
Cryptography / 14.3:
Steganography and Digital Watermarking / 14.4:
Anonymity / 14.5:
Photofits / 14.6:
e-Science and Computing / 15:
Epilogue / 16:
References
Index
Uncertainity
Video Break Detection and Key Frame Extration
Preface
Introduction / 1:
Tasks and Protocols / 1.1:
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