Unified Framework

Unified Framework is a general formulation which yields nth - order expressions giving mode shapes and natural frequencies for damaged elastic… (More)
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Highly Cited
2016
Highly Cited
2016
While deep convolutional neural networks (CNNs) have shown a great success in single-label image classification, it is important… (More)
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Highly Cited
2009
Highly Cited
2009
In this paper, we develop a unified framework for linear nonregenerative multicarrier multiple-input multiple-output (MIMO) relay… (More)
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Highly Cited
2009
Highly Cited
2009
High-dimensional statistical inference deals with models in which the the number of parameters p is comparable to or larger than… (More)
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Highly Cited
2008
Highly Cited
2008
We combine lexical, syntactic, and discourse features to produce a highly predictive model of human readers’ judgments of text… (More)
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Highly Cited
2006
Highly Cited
2006
We provide evidence that nonlinear dimensionality reduction, clustering, and data set parameterization can be solved within one… (More)
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Highly Cited
2004
Highly Cited
2004
PCA, LDA, and Bayesian analysis are the three most representative subspace face recognition approaches. In this paper, we show… (More)
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Highly Cited
2004
Highly Cited
2004
Recursive binary partitioning is a popular tool for regression analysis. Two fundamental problems of exhaustive search procedures… (More)
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Highly Cited
2003
Highly Cited
2003
This paper addresses the joint design of transmit and receive beamforming or linear processing (commonly termed linear precoding… (More)
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Highly Cited
2003
Highly Cited
2003
Model-based clustering techniques have been widely used an d h ve shown promising results in many applications involving complex… (More)
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Highly Cited
1994
Highly Cited
1994
We present a unified framework for the study of linear time-invariant (LTI) systems subject to control input nonlinearities. The… (More)
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