The Multimodal Focused Topic Model: A Nonparametric Bayesian Approach to Simultaneous Object Classification and Attribute Discovery
Abstract
A nonparametric Bayesian model for attribute-based object
recognition and image-based class attribute inference is
presented. This model draws on existing work in Bayesian
nonparametrics such as the focused topic model. The
model allows either the classification of objects or the inference
of attributes over known classes (or both simultaneously).
Attributes inferred from image datasets allow
an improvement in classification accuracy when combined
with attributes from other sources, including ?layperson?
knowledge and existing inference methods.
Permanent Link
http://digital.library.wisc.edu/1793/60997Citation
TR1697