Patterning of highly conducting polyaniline films
T. Graham, A. Afzali, et al.
Microlithography 2000
Latent semantic indexing (LSI) is an information retrieval technique based on the spectral analysis of the term-document matrix, whose empirical success had heretofore been without rigorous prediction and explanation. We prove that, under certain conditions, LSI does succeed in capturing the underlying semantics of the corpus and achieves improved retrieval performance. We propose the technique of random projection as a way of speeding up LSI. We complement our theorems with encouraging experimental results. We also argue that our results may be viewed in a more general framework, as a theoretical basis for the use of spectral methods in a wider class of applications such as collaborative filtering.
T. Graham, A. Afzali, et al.
Microlithography 2000
J.P. Locquet, J. Perret, et al.
SPIE Optical Science, Engineering, and Instrumentation 1998
Michael E. Henderson
International Journal of Bifurcation and Chaos in Applied Sciences and Engineering
Harpreet S. Sawhney
IS&T/SPIE Electronic Imaging 1994