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Data "accretion"
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Classroom Contents
Faces of Facebook - Or, How the Largest Real ID Database in the World Came to Be
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- 1 Intro
- 2 A tale of two futures
- 3 Back to the past
- 4 Background
- 5 of various technologies (2/2)
- 6 What is different: The convergence
- 7 Our research focus
- 8 A short facial taxonomy
- 9 In a nutshell
- 10 Why this matters
- 11 What this implies
- 12 Key themes
- 13 Experiments
- 14 Source DB
- 15 Experimenti
- 16 Experiment 1: Approach
- 17 Experiment 1: Ground truth
- 18 Experiment 1: Evaluation
- 19 Experiment 1: Results
- 20 Experiment 1: Comments
- 21 Experiment 2: Process
- 22 Experiment 2: Approach
- 23 Experiment 2: Examples
- 24 Experiment 2: Results
- 25 Pushing the envelope
- 26 Chances of correctly matching SSN digits by random guess, under status quo knowledge
- 27 SSN assignment patterns: Two representative States
- 28 Chances of correctly matching SSN digits by random guess, under our algorithm
- 29 Predicting SSNs from public data
- 30 Can you do 1+1? Experiment 3
- 31 A picture is worth a thousand words
- 32 Data "accretion"
- 33 Not a trivial problem
- 34 Privacy in the Age of Augmented Reality
- 35 Screenshots
- 36 What is in real time, and what is not
- 37 Limitations
- 38 Extrapolations
- 39 Scalability: Availability of images (2/2)
- 40 Scalability: Cooperative subjects
- 41 Scalability: Geographical restrictions
- 42 Implications (2/4)
- 43 No clear solution
