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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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Related topics

Related topics

50 relations
AdaBoostBackpropagationBoltzmann machineConditional random field

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2007
Highly Cited
2007
Convergence Acceleration Operator for Multiobjective Optimization
A convergence acceleration operator (CAO) is described which enhances the search capability and the speed of convergence of the… 
Highly Cited
2005
Highly Cited
2005
Inpainting the colors
  • G. Sapiro
  • IEEE International Conference on Image Processing
  • 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 100×100 pixel silicon retina for gradient extraction with steering filter capabilities and temporal output coding
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
Three-dimensional subsurface analysis of electromagnetic scattering from penetrable/PEC objects buried under rough surfaces: use of the steepest descent fast multipole method
The electromagnetic scattering from a three-dimensional (3D) shallow object buried under a two-dimensional (2D) random rough… 
Highly Cited
2000
Highly Cited
2000
A matrix-algebraic approach to linear parallel interference cancellation in CDMA
Linear parallel interference cancellation (PIC) schemes are described and analyzed using matrix algebra. It is shown that the… 
Highly Cited
1998
Highly Cited
1998
Soil carbon dioxide fluxes and profile concentrations in two boreal forests
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
Fast algorithms for lpdeconvolution
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
Motion-compensated coding: Some new results
In earlier papers, we have presented motion-compensated television coding schemes in which the displacement of objects was… 
Highly Cited
1977
Highly Cited
1977
Envelope-constrained filters-I: Theory and applications
In the envelope-constrained filtering problem, one attempts to optimize a filter's impulse response subject to the constraint… 
Review
1945
Review
1945
THE DETERMINATION OF SERUM PROTEIN CONCENTRATION WITH A GRADIENT TUBE
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