Estimation of the joint probability of multisensory signals

Pattern Recognition Letters

Volumn 22, Issue 13, 2001, Pages 1431-1437

  Pan, Hao ^a   Liang, Zhi Pei ^a   Huang, Thomas S ^a  

^a United States of America   (United States)

Author keywords

Canonical correlation analysis; Joint probability; Maximum mutual information; Multisensory information fusion; The maximum entropy principle

Indexed keywords

ALGORITHMS; CONFORMAL MAPPING; PROBABILITY; RANDOM PROCESSES; VECTORS;

GAUSSIAN RANDOM VECTORS; MULTISENSORY SIGNALS;

PATTERN RECOGNITION;

PATTERN RECOGNITION;

EID: 0035501483     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(01)00080-0     Document Type: Article

References (9)

1. Information theory and statistical mechanics
2. On information and sufficiency
3. The use of Bayesian and entropic methods in neural network theory
4. Exploiting the dependencies in information fusion
5. A new approach to integrate audio and visual features of speech