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A new method for automatic indexing and retrieval is described. The approach is to take advantage of implicit higher-order structure in the association of terms with documents (" semantic structure ") in order to improve the detection of relevant documents on the basis of terms found in queries. The particular technique used is singular-value decomposition,(More)
1970 and is reproduced here to make it more accessible to interested scholars. The original reference is Harshman, R. A. (1970). Foundations of the PARAFAC procedure: Models and conditions for an " explanatory " multimodal factor analysis. 2 ACKNOWLEDGEMENTS The author wishes to express his great indebtedness to Peter Ladefoged, without whose support this(More)
In a new method for automatic indexing and retrieval, implicit higher-order structure in the association of terms with documents is modeled to improve estimates of term-document association, and therefore the detection of relevant documents on the basis of terms found in queries. Singular-value decomposition is used to decompose a large term by document(More)
This paper describes a new approach for dealing with the vocabulary problem in human-computer interaction. Most approaches to retrieving textual materials depend on a lexical match between words in users' requests and those in or assigned to database objects. Because of the tremendous diversity in the words people use to describe the same object, lexical(More)
ASALSAN is a new algorithm for computing three-way DEDICOM, which is a linear algebra model for analyzing intrinsically asymmetric relationships, such as trade among nations or the exchange of emails among individuals, that incorporates a third mode of the data, such as time. ASAL-SAN is unique because it enables computing the three-way DEDICOM model on(More)
An algorithm that uses only the first three formant frequencies has been devised for generating vocal tract shapes as seen on midsagittal x-ray diagrams of most English vowels. The shape of the tongue is characterized in terms of the sum of two factors derived from PARAFAC analysis: a front raising component and a back raising component. Stepwise multiple(More)
0. Abstract The mathematical model of PARAFAC is reviewed, and an examination is made of its application to cross-product matrices (e.g. covariance matrices,. scalar product matrices, etc.). It is shown that PARAFAC1 can correctly describe both orthogonal (uncorrelated) and oblique (correlated) factors in system-variation data matrices, but that it can only(More)
A generalization/specialization of the PARAFAC model is developed that improves its properties when applied to multi-way problems involving linearly dependent factors. This model is called PARALIND (PARAllel profiles with LINear Dependences). Linear dependences can arise when the empirical sources of variation being modeled by factors are causally or(More)