ML Anthology

Dynamically Constructed Bayes Nets for Multi-Domain Sketch Understanding

Christine Alvarado, Randall Davis
IJCAI 2005 pp. 1407-1412
doi:10.1145/1185657.1185793 /ijcai/2005/alvarado2005ijcai-dynamically/

Abstract

This paper presents a novel form of dynamically constructed Bayes net, developed for multi-domain sketch recognition. Our sketch recognition engine integrates shape information and domain knowledge to improve recognition accuracy across a variety of domains using an extendible, hierarchical approach. Our Bayes net framework integrates the influence of stroke data and domain-specific context in recognition, enabling our recognition engine to handle noisy input. We illustrate this behavior with qualitative and quantitative results in two domains: hand-drawn family trees and circuits.

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Text

Alvarado and Davis. "Dynamically Constructed Bayes Nets for Multi-Domain Sketch Understanding." International Joint Conference on Artificial Intelligence, 2005. doi:10.1145/1185657.1185793

Markdown

[Alvarado and Davis. "Dynamically Constructed Bayes Nets for Multi-Domain Sketch Understanding." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/alvarado2005ijcai-dynamically/) doi:10.1145/1185657.1185793

BibTeX

@inproceedings{alvarado2005ijcai-dynamically,
  title     = {{Dynamically Constructed Bayes Nets for Multi-Domain Sketch Understanding}},
  author    = {Alvarado, Christine and Davis, Randall},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {1407-1412},
  doi       = {10.1145/1185657.1185793},
  url       = {https://mlanthology.org/ijcai/2005/alvarado2005ijcai-dynamically/}
}