vault backup: 2025-01-12 21:50:46
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5 changed files with 30 additions and 10 deletions
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"title": "7. Face recognition 3D"
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"Biometric Systems/notes/7. Face recognition 3D.md",
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"Biometric Systems/domande orale/BS_questions.txt.md",
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"Biometric Systems/domande orale/Domande biometrici ita.pdf",
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"Biometric Systems/domande orale/Biometrics orale.pdf",
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"Biometric Systems/domande orale",
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"Biometric Systems/notes/13. Multi biometric.md",
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"Biometric Systems/notes/13. Multi biometric.md",
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"Biometric Systems/slides/LEZIONE12_MULBIOMETRIC.pdf",
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"Biometric Systems/slides/LEZIONE12_MULBIOMETRIC.pdf",
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"Biometric Systems/notes/8 Face anti spoofing.md",
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"Biometric Systems/notes/9. Ear recognition.md",
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"Biometric Systems/notes/9. Ear recognition.md",
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"Biometric Systems/slides/LEZIONE2_Indici_di_prestazione.pdf",
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"Biometric Systems/slides/LEZIONE2_Indici_di_prestazione.pdf",
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"Biometric Systems/slides/LEZIONE7_Face recognition3D.pdf",
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"Biometric Systems/slides/LEZIONE7_Face recognition3D.pdf",
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"Biometric Systems/notes/7. Face recognition 3D.md",
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"Foundation of data science/slides/More on Neural Networks (1).pdf",
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"Foundation of data science/slides/More on Neural Networks (1).pdf",
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"Foundation of data science/slides/FDS_convnet_primer_new.pdf",
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"Foundation of data science/slides/FDS_convnet_primer_new.pdf",
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"Foundation of data science/slides/linear regression.pdf",
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"Foundation of data science/slides/linear regression.pdf",
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"Foundation of data science/slides/FDS_linear_regression_w_notes.pdf",
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"Foundation of data science/slides/FDS_convnet_primer_new 1.pdf",
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"Foundation of data science/notes/9 XGBoost.md",
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"Foundation of data science/notes/9 XGBoost.md",
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"Foundation of data science/notes/Untitled.md",
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"Foundation of data science/notes/Untitled.md",
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"Foundation of data science/notes/9 Gradient Boosting.md",
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"Foundation of data science/notes/9 Gradient Boosting.md",
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16
Biometric Systems/domande orale/BS_questions.txt.md
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Biometric Systems/domande orale/BS_questions.txt.md
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1. What does it mean verification? How can we evaluate system performance? What is difference between identification and verification?
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1. How do you evaluate the performance of a system in identification Open set?
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2. DIR formula? DIR explaination, what is at denominator of DIR? What is PG?
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3. What are minutiae? How can i compute when a minutia report a certain kind of shape? (the answer is talking about crossing number analysis)
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4. Differences between randotypic features and genotypic features. which are more robust? Examples of randotypic traits (don't forget to name vessels pattern a randotypic)
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5. Which problems of face recognition are solved by 3D?
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6. Why behavioural features are less robust than physical ones?
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7. Physical traits that cannot be considered as hard traits
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1. Pros and cons in ear recognition
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2. Poincare index -> which singularities you can detect?
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3. CMS and CMC
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4. Multi-biometric system -> how many types (multiple instances, multiple features ecc.)
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5. Difference between visible light and near-red light in iris recognition. Which is better and in which case near-red is particular better?
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Biometric Systems/domande orale/Biometrics orale.pdf
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Biometric Systems/domande orale/Biometrics orale.pdf
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Biometric Systems/domande orale/Domande biometrici ita.pdf
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Biometric Systems/domande orale/Domande biometrici ita.pdf
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