ITS102.23: Human versus Machine Intelligence Spring 2013
Freshman seminar at Stony Brook University.
Course Syllabus (PDF)
Slides of Part A (PDF):
Introduction and the Enigma story
Slides of Part B (PDF) :
How to Tell a Human apart from a Computer - CAPTCHA
Slides of Part C (PDF) :
How Can We EnableMachines to Read - Barcodes
Slides of Part D (PDF):
Finding what People Like
www.cs.cmu.edu/~wcohen/collab-filtering-tutorial.ppt:
Tutorial on Collaborative Filtering from Carnegie Mellon University. (9
Mbytes Power Point file)
Slides of Part E (PDF):
Blocking Ads
Slides of Part F (PDF):
Machine Vision
(No Parts G, H, I)
Slides of Part J (PDF):
Content Based Image Retrieval (CBIR)
Slides of Part JX (PDF):
How Human Visual Perception Works
Slides of Part K (PDF):
When and How we can do Image Retrieval
Slides of Part L (PDF):
Image similarity
Tutorials
A collection of tutorials on the topics of this course and several other
topics as well.
Latest Update: 3/30/13
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