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Gradient descent

Known as: Descent, Gradient descent optimization, Gradient descent method 
Gradient descent is a first-order iterative optimization algorithm. To find a local minimum of a function using gradient descent, one takes steps… 
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Papers overview

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Highly Cited
2005
Highly Cited
2005
  • G. Sapiro
  • 2005
  • Corpus ID: 16579734
A framework for automatic image colorization, the art of adding color to a monochrome image or movie, is presented in this paper… 
Highly Cited
2002
Highly Cited
2002
A 100/spl times/100 pixel analog very large scale integration retina is proposed to extract the magnitude and direction of… 
Highly Cited
2001
Highly Cited
2001
The electromagnetic scattering from a three-dimensional (3D) shallow object buried under a two-dimensional (2D) random rough… 
Highly Cited
2000
Highly Cited
2000
Linear parallel interference cancellation (PIC) schemes are described and analyzed using matrix algebra. It is shown that the… 
Highly Cited
1998
Highly Cited
1998
Because a large fraction of the world's carbon exists in the soil of boreal forests, understanding how soil temperature and… 
Highly Cited
1985
Highly Cited
1985
This paper discusses two algorithms for l_{p}, 1 \leq p \leq 2 , deconvolution. One, iterative reweighted least squares (IRLS… 
Highly Cited
1980
Highly Cited
1980
In earlier papers, we have presented motion-compensated television coding schemes in which the displacement of objects was… 
Highly Cited
1977
Highly Cited
1977
In the envelope-constrained filtering problem, one attempts to optimize a filter's impulse response subject to the constraint…