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We describe a recognition algorithm for a subset of binary linear context-free rewriting systems (LCFRS) with running time O(nωd) where M(m) = O(mω) is the running time for m × m matrix multiplication...
Single-word vector space models have been very successful at learning lexical information. However, they cannot capture the compositional meaning of longer phrases, preventing them from a deeper under...
In this paper, we investigate the use of deep neural networks (DNNs) to generate a stacked bottleneck (SBN) feature representation for low-resource speech recognition. We examine different SBN extract...
Extracting Deep Neural Network Bottleneck Features Using Low-Rank Matrix Factorization.
When biographer Donald Spoto published The Dark Side of Genius: The Life of Alfred Hitchcock in 1983, critic Richard Grenier started his front-page article in the New York Times Book Review with Geo...
In The Matrix a reality of millions is declared to be due to cognitive manipulations effected by machines and computers. The constellation, not unknown in science fiction films, has obviously a high...
4 special issues, 6 volumes, 2,269 pages, 175 authors from around the globe, 210 publications, 26 newsletters, 3 international online conferences, 61 conference proceedings papers, 147 conference pr...
This article arises out of my research in a number of consecutive community music therapy projects,[1] and presents the model that resulted from these research periods. It is part of an ongoing study ...
The Reading Matrix: An International Online Journal is a peer-reviewed professional journal with an editorial board of scholars in the fields of second language acquisition and applied linguistics. Th...
In this paper, we present a theoretical framework for a new IR model, which, by taking the distribution of words in the sense direction into account, represents a document as a term-sense matrix and a...

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