Austin Model 1

Known as: AMI chemistry, RM1, Recife Model 1 
Austin Model 1, or AM1, is a semi-empirical method for the quantum calculation of molecular electronic structure in computational chemistry. It is… (More)
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Topic mentions per year

1982-2015
0246819822015

Papers overview

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2009
2009
In this paper, a hardware/software co-processing speech recognizer for embedded applications is proposed. The system mainly… (More)
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2008
2008
Most of the recently published quantitative structure-property relationship (QSPR) models, which can be used to predict… (More)
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2006
Highly Cited
2006
Twenty years ago, the landmark AM1 was introduced, and has since had an increasingly wide following among chemists due to its… (More)
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2006
2006
Speech recognition is usually based on hidden Markov models (HMMs), which represent the temporal dynamics of speech very… (More)
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2005
2005
While the temporal dynamics of speech can be represented very efficiently by Hidden Markov Models (HMMs), the classification of… (More)
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Highly Cited
2004
Highly Cited
2004
interaction of Linear Discriminant Analyand a modeling approach using continuous mixture density HMMs is studied experimentally… (More)
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2003
2003
This paper is an introduction to Homological Mirror Symmetry, derived categories , and topological D-branes aimed mainly at a… (More)
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1998
1998
Speaker-dependent automatic speech recognition systems are known to outperform speaker-independent systems when enough data are… (More)
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Highly Cited
1997
Highly Cited
1997
Let R be a real closed field, Z(Q) a real algebraic variety defined as the zero set of a polynomial Q ∈ R[X1, . . . , Xk] and S a… (More)
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Highly Cited
1995
Highly Cited
1995
A method of speaker adaptation for continuous density hidden Markov models (HMMs) is presented. An initial speaker-independent… (More)
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