ECVision indexed and annotated bibliography of cognitive computer vision publications
This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1
The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
Current Index Position:
Model Learning
Types of Learning
Unsupervised
Papers
B. Moghaddam and A. Pentland
Probabilistic Visual Learning for Object Representation
BibTex Abstract Paper
G. Wallis and R. Baddeley
Optimal, Unsupervised Learning in Invariant Object Recognition
BibTex Abstract
M. Weber and M. Welling and P. Perona
Unsupervised Learning of Models for Recognition
BibTex Abstract Paper
J. Pauli
Learning to recognize and grasp objects
BibTex Abstract Paper
S. Edelman and N. Intrator and J. S. Jacobson
Unsupervised Learning of Visual Structure
BibTex Abstract Paper
M. Weber and M. Welling and P. Perona
Unsupervised Learning of Models for Recognition
BibTex Abstract Paper
Yang Song and Luis Goncalves and Pietro Perona
Unsupervised Learning of Human Motion
BibTex Abstract Paper
S. Edelman and N. Intrator and J. S. Jacobson
Unsupervised Learning of Visual Structure
BibTex Abstract Paper
Hickinbotham, S.J. and Hancock, E.R. and Austin, J.
Learning Feature Characteristics
BibTex Abstract Paper
D. Willshaw and J. Hallam and S. Gingell and S. L. Lau
Marr Theory of the Neocortex as a Self-Organizing Neural-Network
BibTex Abstract Paper
T. F. Li
Bayes empirical Bayes approach to unsupervised learning of parameters in pattern recognition
BibTex Abstract Paper
