1. Hidden conditional random fields
- Author
-
Quattoni, Ariadna, Wang, Sybor, Morency, Louis-Philippe, Collins, Michael, and Darrell, Trevor
- Subjects
Knowledge-based system ,Object recognition (Computers) -- Research ,Pattern recognition -- Research ,Automatic classification -- Models - Abstract
We present a discriminative latent variable model for classification problems in structured domains where inputs can be represented by a graph of local observations. A hidden-state Conditional Random Field framework learns a set of latent variables conditioned on local features. Observations need not be independent and may overlap in space and time. Index Terms--Object recognition, model, supervised learning, classification.
- Published
- 2007