Lecture 6 - Pattern Recognition I

.....................is an abstraction, represented by a set of measurements describing a “physical” object.

• Pattern

• Pattern class

• pattern recognition

....................a collection of “similar”, not necessarily identical, objects.

• Pattern

• Pattern recognition

• Pattern class

..........................theory, Algorithms, Systems to put Patterns into Categories.

• Pattern

• Pattern recognition

• Pattern class

................refers to some form of adaptation of the classification algorithm to achieve a better response.

• Learning

• Detecting

If the classes to which the objects belong are known, the process is called.....................

• Supervised Learning

• Unsupervised Learning

If the classes to which the objects belong are unknown, the process is called...............

• Supervised Learning

• Unsupervised Learning

If the classes to which the objects belong are unknown, the process is called unsupervised learning.

• True

• False

If the classes to which the objects belong are unknown, the process is called supervised learning.

• True

• False

If the classes to which the objects belong are known, the process is called supervised learning.

• True

• False

If the classes to which the objects belong are known, the process is called unsupervised learning.

• True

• False