Separating Style and Content with Bilinear Models

@article{Tenenbaum2000SeparatingSA,
  title={Separating Style and Content with Bilinear Models},
  author={Joshua B. Tenenbaum and William T. Freeman},
  journal={Neural Computation},
  year={2000},
  volume={12},
  pages={1247-1283}
}
Perceptual systems routinely separate content from style, classifying familiar words spoken in an unfamiliar accent, identifying a font or handwriting style across letters, or recognizing a familiar face or object seen under unfamiliar viewing conditions. Yet a general and tractable computational model of this ability to untangle the underlying factors of perceptual observations remains elusive (Hofstadter, 1985). Existing factor models (Mardia, Kent, & Bibby, 1979; Hinton & Zemel, 1994… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 60 references

Computation and the single neuron

Nature • 1997
View 4 Excerpts
Highly Influenced

Fluid Concepts and Creative Analogies: A Review

AI Magazine • 1995
View 6 Excerpts
Highly Influenced

Matrix differential calculus with applications in statistics and econometrics

J. R. Magnus, H. Neudecker
1988
View 4 Excerpts
Highly Influenced

Discriminant adaptive nearest neighbor classi cation

T. Hastie, R. Tibshirani
IEEE Pattern Analysis and Machine Intelligence • 1996
View 1 Excerpt
Highly Influenced

Dynamic error propagation networks

A. Robinson
Unpublished doctoral dissertation, Cambridge University. • 1989
View 2 Excerpts
Highly Influenced

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