6.892 Lecture #7


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


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