Learning Parts-Based Representations of Data
David A. Ross, Richard S. Zemel · TSpace (University of Toronto) · 2006
Learning Parts-Based Representations of Data David A. Ross Master of Science Graduate Department of Computer Science University of Toronto 2003 Many collections of data exhibit a common underlying structure: they consist of a number of parts or factors, each with a range of possible states. For example, in a collection of facial images, every image contains eyes, a nose, and a mouth, each of which has a number of appearances.