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Principal component analysis

Known as: Principle components analysis, Principle Component Analysis, Probabilistic principal component analysis 
Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly… 
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Papers overview

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Highly Cited
2014
Highly Cited
2014
In this paper, we present a robust and fast tracking algorithm in which object tracking is achieved by solving ℓ2-regularized… 
2010
2010
This paper presents a simple graphic method for detecting and classifying faults in point mechanisms based on the study of some… 
Highly Cited
2010
Highly Cited
2010
In this paper, we present a graph based face representation for efficient age invariant face recognition. The graph contains… 
Highly Cited
2009
Highly Cited
2009
††† † † Summary This paper presents a novel technique for embedding a binary logo watermark into video frames. The proposed… 
Highly Cited
2005
Highly Cited
2005
A principal challenge in the use of empirical proper orthogonal decomposition (POD) Galerkin models for feedback control design… 
2002
2002
  • M. LoogB. Ginneken
  • 2002
  • Corpus ID: 16535221
We propose a general iterative contextual pixel classifier for supervised image segmentation. The iterative procedure is… 
1996
1996
  • M. Covell
  • 1996
  • Corpus ID: 9057102
Eigen-points estimates the image-plane locations of fiduciary points on an object. By estimating multiple locations… 
Highly Cited
1994
Highly Cited
1994
This study looks at the relative importance of the factors which control the concentration of atmospheric carbon dioxide. EOF… 
1991
1991
The scheduling problems in flexible manufacturing systems deal with (1) tool allocation (2)parts scheduling (3) pallets… 
Highly Cited
1986
Highly Cited
1986
The concept of fast KL transform coding introduced earlier [7], [8] for first-order Markov processes and certain random fields…