Transformation matrix

Known as: Homogeneous transformation matrices, Transformations two-dimensions, Vertex transformation 
In linear algebra, linear transformations can be represented by matrices. If T is a linear transformation mapping Rn to Rm and is a column vector… (More)
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Papers overview

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Highly Cited
2012
Highly Cited
2012
Learning invariant representations is an important problem in machine learning and pattern recognition. In this paper, we present… (More)
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Highly Cited
2011
Highly Cited
2011
This paper proposes efficient algorithms for group sparse optimization with mixed `2,1-regularization, which arises from the… (More)
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2003
2003
A model of e-business transformation is developed for ERP enabled organisations, based on the findings of a longitudinal multiple… (More)
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Highly Cited
2002
Highly Cited
2002
  • Syswm Potcntial Encrgy
  • 2002
Improving the performancc of most cnginccring systems rcquires thc ability to modcl the systcm's hchavior with improved accuracy… (More)
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2002
2002
Mapping of the data output vector from an existing antenna array onto the data vector of an imaginary array of more suitable… (More)
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Highly Cited
2001
Highly Cited
2001
Vocal tract normalization (VTN) is a widely used speaker normalization technique which reduces the effect of different lengths of… (More)
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Highly Cited
2001
Highly Cited
2001
This paper presents the current state of understanding of the factors that limit the continued scaling of Si complementary… (More)
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Highly Cited
2001
Highly Cited
2001
The Tasseled Cap transformations of Landsat MSS (Kauth and Thomas, 1976) and TM (Crist and Cicone, 1984a,b) data provided a… (More)
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Highly Cited
2000
Highly Cited
2000
1 Problem Statement Let I and J be two 2D grayscaled images. The two quantities I(x) = I(x; y) and J(x) = J(x; y) are then the… (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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