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
Supervised
Papers
B. Shc{\"{o}}lkopf
, SVMs --- a practical consequence of learning theory
BibTex Abstract Paper
C. Nakajima and M. Pontil and B. Heisele and T. Poggio
People Recognition in Image Sequences by Supervised Learning
BibTex Abstract Paper
Alejandro Jaimes and Shih-Fu Chang
Learning Structured Visual Detectors from User Input at Multiple Levels
BibTex Abstract Paper
T. F. Cootes and C. J. Taylor and D. Cooper and J. Graham
Training models of shape from sets of examples
BibTex Abstract Paper
T. F. Cootes and D. Cooper and C. J. Taylor and J. Graham
Active shape models -their training and application
BibTex Abstract Paper
T. Jebara and A. Pentland
Action reaction learning: Automatic visual analysis and synthesis of interactive behaviour
BibTex Abstract Paper
T. Krishnan
Efficiency of learning with imperfect supervision
BibTex Abstract Paper
W. Greblicki
Learning to recognize patterns with a probabilistic teacher
BibTex Abstract Paper
T. Poggio and C. R. Shelton
Machine Learning, Machine Vision, and the Brain
BibTex Abstract Paper
Roobaert, D. and Zillich, M. and Eklundh, J.-O.
A pure learning approach to background-invariant object recognition using pedagogical support vector
BibTex Abstract Paper
A. Ohkubo and K. Niijima
New Supervised Learning of Neural Networks for satellite image classification
BibTex Abstract Paper
M. A. T. Figueiredo
Adaptive sparseness for supervised learning
BibTex Abstract Paper
