TPR3411 Pattern Recognition
Tutorial 1 (Solution)
Part 1 - Theory
1. What is a pattern? Provide five examples of patterns.
Pattern is an abstract object, such as a set of measurements describing a physical object.
Examples: fingerprint, palmprint, iris, h

TPR3411 Pattern Recognition
Tutorial 4 (Solution)
Part 1 Theory
1. What is a loss function? How can the loss function be related to Conditional Risk?
The lost function, ij, states exactly how costly each action is. It describes the loss
incurred for takin

TPR3411 Pattern Recognition
Tutorial 3 (Solution)
1. Briefly describe how the Bayesian Decision Theory can be used to solve pattern recognition
problem.
The Bayesian Decision Theory is a fundamental statistical approach to the problem of
statistical patte

TPR3411 Pattern Recognition
Tutorial 2
Part 1 Theory
1. Imagine that you went to a friends wedding in Australia recently. It is known that 1
in 200 people who visited Australia recently come back with swine flu. The doctor
selects you at random to have a

TPR3411 Pattern Recognition
Tutorial 4
Part 1 Theory
1. What is a loss function? How can the loss function be related to Conditional Risk?
2. What is zero-one loss function? State the decision rule for the zero-one loss
function.
3. The class-conditional