A Bayesian Fusion Approach and Its Application to Integrating Audio and Visual Signals in HCI

Finally, kernel canonical correlation analysis (CCA) is developed to model nonlinear or high-order correlations between signals from two sources. Kernel CCA uses kernel principal component analysis (PCA), which elegantly combines a nonlinear transformation and linear PCA into a one-step calculation, so as to avoid the computational burden of high/infinite-dimensional nonlinear transformations.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Pan, Hao

Contributors dc:contributor

• Liang, Zhi-Pei

• Computer Science

Language dc:language

eng

Identifier

(MiAaPQ)AAI3023164

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/80738