vault backup: 2025-01-13 02:15:46
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2 changed files with 92 additions and 98 deletions
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.obsidian/workspace.json
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.obsidian/workspace.json
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@ -12,16 +12,14 @@
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"id": "1fb39a1dfc7b5200",
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"type": "leaf",
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"state": {
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"type": "pdf",
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"type": "markdown",
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"state": {
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"file": "Biometric Systems/slides/LEZIONE12_MULBIOMETRIC.pdf",
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"page": 4,
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"left": -16,
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"top": 405,
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"zoom": 0.9277310924369747
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"file": "Biometric Systems/frequently asked questions/BS_oral_questions_16022021.md",
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"mode": "source",
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"icon": "lucide-file-text",
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"title": "LEZIONE12_MULBIOMETRIC"
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"icon": "lucide-file",
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"title": "BS_oral_questions_16022021"
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}
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{
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@ -248,15 +246,15 @@
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},
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"active": "1fb39a1dfc7b5200",
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"lastOpenFiles": [
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"Biometric Systems/frequently asked questions/BS_oral_questions_16022021.md",
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"Biometric Systems/frequently asked questions/BS_questions.txt.md",
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"Biometric Systems/slides/LEZIONE12_MULBIOMETRIC.pdf",
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"Biometric Systems/frequently asked questions/BS_oral_questions_16022021.md",
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"Biometric Systems/frequently asked questions/Biomteric Systems.pdf",
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"Biometric Systems/notes/7. Face recognition 3D.md",
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"Biometric Systems/frequently asked questions/Domande biometrici ita.pdf",
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"Biometric Systems/frequently asked questions/Biometrics orale.pdf",
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"Biometric Systems/frequently asked questions",
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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/notes/8 Face anti spoofing.md",
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"Biometric Systems/notes/11. Fingerprints.md",
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"Biometric Systems/slides/LEZIONE11_Fingerprints.pdf",
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@ -283,7 +281,6 @@
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"Foundation of data science/notes/5 Neural Networks.md",
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"Biometric Systems/notes/1. Introduction.md",
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"Foundation of data science/notes/3.2 LLM generated from notes.md",
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"Foundation of data science/notes/4 L1 and L2 normalization - Lasso and Ridge.md",
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@ -4,34 +4,31 @@ DAY 1
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1. FIRST - 28
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3. Haar cascade classifier
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1. Haar cascade classifier
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4. Training in face recognition
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2. Training in face recognition
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3. Evaluation in Verification systems
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5. Evaluation in Verification systems
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3. SECOND bad grade (redo)
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6. SECOND bad grade (redo)
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7. EER metrics
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8. Rubber Sheet Model
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9. Fingerprint Recognition
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1. EER metrics
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10. THIRD 24
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2. Rubber Sheet Model
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11. What is spoofing?
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3. Fingerprint Recognition
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12. Evaluate spoofing together with recognition?
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13. Difference between hard and soft biometrics
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5. THIRD 24
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1. What is spoofing?
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2. Evaluate spoofing together with recognition?
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3. Difference between hard and soft biometrics
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4. Which biometrics trait is unique?
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14. Which biometrics trait is unique?
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DAY 2
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