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2015

2015

Nonlinear component analysis such as kernel Principle Component Analysis (KPCA) and kernel Canonical Correlation Analysis (KCCA… Expand

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2012

Highly Cited

2012

Unlabeled data is often used to learn representations which can be used to supplement baseline features in a supervised learner… Expand

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Highly Cited

2012

Highly Cited

2012

We study PCA, PLS, and CCA as stochastic optimization problems, of optimizing a population objective based on a sample. We… Expand

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2010

2010

Improving safety on the road is one of the most challenging goals of recent investigations in VANETs (Vehicular Ad-hoc Networks… Expand

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2008

2008

In this paper, we apply partial least squares (PLS) regression to predict 3D face shape from a single image. PLS describes the… Expand

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2007

2007

1 Vector and Matrix Norms, 2 2 Subspaces, Bases, and Projections, 3 3 The Fundamental Theorem of Linear Algebra, 7 4 Solving… Expand

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Highly Cited

2006

Highly Cited

2006

The Common Component Architecture (CCA) provides a means for software developers to manage the complexity of large-scale… Expand

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2005

2005

With the increasing availability of high-performance massively parallel computer systems, the prevalence of sophisticated… Expand

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Highly Cited

2000

Highly Cited

2000

Describes an approach to building a distributed software component system for scientific and engineering applications that is… Expand

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Highly Cited

1999

Highly Cited

1999

Describes work in progress to develop a standard for interoperability among high-performance scientific components. This research… Expand

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