Distributed Symbolic Representation of Visual Shape
Abstract
The notion of distributed representation has gained significance in explanations of connectionist or “neural” networks. This communication shows that the concept also offers motivation in devising representations for visual shape within a symbolic computing paradigm. In a representation for binary (silhouette) shapes, and in analogy with conventional distributed connectionist networks, descriptive power is gained when microfeatures are available naming important spatial relationships in images. Our symbolic approach is introduced through a vocabulary of 31 “hand built” shape descriptors operating in the two-dimensional shape world of the dorsal fins of fishes.
Cite
Text
Saund. "Distributed Symbolic Representation of Visual Shape." Neural Computation, 1990. doi:10.1162/NECO.1990.2.2.138Markdown
[Saund. "Distributed Symbolic Representation of Visual Shape." Neural Computation, 1990.](https://mlanthology.org/neco/1990/saund1990neco-distributed/) doi:10.1162/NECO.1990.2.2.138BibTeX
@article{saund1990neco-distributed,
title = {{Distributed Symbolic Representation of Visual Shape}},
author = {Saund, Eric},
journal = {Neural Computation},
year = {1990},
pages = {138-151},
doi = {10.1162/NECO.1990.2.2.138},
volume = {2},
url = {https://mlanthology.org/neco/1990/saund1990neco-distributed/}
}