6.892 Lecture #7
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6.892 Lecture #7
Big Picture: Statistics
Big Picture: Image Matching
Better Representation for Images Beymer, Jones, Poggio, etc.
Some Examples
More Generality
Example from Jones
Flow for Expressions
Real Problem
Eigenvectors vs. Flow Fields
Recognizing With Deformable Templates
Perceptrons
Minimizing Misclassification
An Example
The Perceptron Picture
A Learning Procedure
Perceptron Learning Rule
Random Gradient Descent
How Random is this Descent?
Very Random Descent
Stochastic Approximation
Perceptron: Solution to the World’s Problems
Perceptrons: Unfortunate Dead End?
The Derivative Trick
Derivative of Sigmoid