Sequences, Structure, and Active Vision
Abstract
Sequences of symbols generated by a visual and action sequence provide information about the natural structure of the world. HMMs (hidden Markov models) provide one way to learn (recover), store, produce, manipulate, and analyze both visual sequences and associated knowledge structures for computer vision.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Rimey and Brown. "Sequences, Structure, and Active Vision." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139791Markdown
[Rimey and Brown. "Sequences, Structure, and Active Vision." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/rimey1991cvpr-sequences/) doi:10.1109/CVPR.1991.139791BibTeX
@inproceedings{rimey1991cvpr-sequences,
title = {{Sequences, Structure, and Active Vision}},
author = {Rimey, Raymond D. and Brown, Christopher M.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1991},
pages = {706-709},
doi = {10.1109/CVPR.1991.139791},
url = {https://mlanthology.org/cvpr/1991/rimey1991cvpr-sequences/}
}