Gramian matrix

Known as: Grammian, Gram determinant, Gramian 
In linear algebra, the Gram matrix (Gramian matrix or Gramian) of a set of vectors in an inner product space is the Hermitian matrix of inner… (More)
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Papers overview

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2017
2017
This paper studies Gramian-based reachability metrics for bilinear control systems. In the context of complex networks, bilinear… (More)
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Highly Cited
2014
Highly Cited
2014
Modeling the target appearance is critical in many modern visual tracking algorithms. Many tracking-by-detection algorithms… (More)
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2006
2006
Decentralized control is a well established approach to the control of multivariable plants. In this approach, control structure… (More)
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Highly Cited
2004
Highly Cited
2004
Model reduction is of fundamental importance in many control applications. We consider model reduction methods for linear time… (More)
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Highly Cited
2004
Highly Cited
2004
  • Chengjun Liu
  • IEEE Transactions on Pattern Analysis and Machine…
  • 2004
This paper presents a novel Gabor-based kernel principal component analysis (PCA) method by integrating the Gabor wavelet… (More)
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Highly Cited
2004
Highly Cited
2004
We interpret several well-known algorithms for dimensionality reduction of manifolds as kernel methods. Isomap, graph Laplacian… (More)
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2003
2003
This note deals with the choice of measurement/actuator pairs for decentralized control, where the controller remains unspecified… (More)
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Highly Cited
2002
Highly Cited
2002
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among… (More)
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Highly Cited
2001
Highly Cited
2001
The popular K-means clustering partitions a data set by minimizing a sum-of-squares cost function. A coordinate descend method is… (More)
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Highly Cited
2000
Highly Cited
2000
We introduce a novel kernel for comparing two text documents. The kernel is an inner product in the feature space consisting of… (More)
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