Decorrelation

Known as: Signal whitening, Signal-whitening 
Decorrelation is a general term for any process that is used to reduce autocorrelation within a signal, or cross-correlation within a set of signals… (More)
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Papers overview

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Review
2018
Review
2018
Whitening, or sphering, is a common preprocessing step in statistical analysis to transform random variables to orthogonality… (More)
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Highly Cited
2014
Highly Cited
2014
Even with the advent of more sophisticated, data-hungry methods, boosted decision trees remain extraordinarily successful for… (More)
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Highly Cited
2012
Highly Cited
2012
Object detection has over the past few years converged on using linear SVMs over HOG features. Training linear SVMs however is… (More)
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Highly Cited
2012
Highly Cited
2012
In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or… (More)
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Highly Cited
2012
Highly Cited
2012
This paper describes a physical model of the temporal changes that occur in vegetated land surfaces observed by a repeat-pass… (More)
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Highly Cited
2004
Highly Cited
2004
  • J.J. Steil
  • IEEE International Joint Conference on Neural…
  • 2004
We introduce a new learning rule for fully recurrent neural networks which we call backpropagation-decorrelation rule (BPDC). It… (More)
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Highly Cited
2000
Highly Cited
2000
Theoretical studies suggest that primary visual cortex (area V1) uses a sparse code to efficiently represent natural scenes. This… (More)
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Highly Cited
1999
Highly Cited
1999
Band selection for remotely sensed image data is an effective means to mitigate the curse of dimensionality. Many criteria have… (More)
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Highly Cited
1995
Highly Cited
1995
The GPS double difference carrier phase measurements are ambiguous by an unknown integer number of cycles. High precision… (More)
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Highly Cited
1992
Highly Cited
1992
1 2 Abstract A radar interferometric technique for topographic mapping of surfaces promises a high resolution, globally… (More)
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