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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
2011
Highly Cited
2011
A real-time 1080p 2D-to-3D video conversion system
In this paper, we demonstrate a 2D-to-3D video conversion system capable of real-time 1920×1080p conversion. The proposed system… 
Highly Cited
2010
Highly Cited
2010
MEASUREMENT OF A METALLICITY GRADIENT IN A z = 2 GALAXY: IMPLICATIONS FOR INSIDE-OUT ASSEMBLY HISTORIES
We present near-infrared imaging spectroscopy of the strongly lensed z = 2.00 galaxy SDSS J120601.69+514227.8 (“the Clone arc… 
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
1994
Highly Cited
1994
A hybrid algorithm for finding the global minimum of error function of neural networks and its applications
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… 
Review
1945
Review
1945
THE DETERMINATION OF SERUM PROTEIN CONCENTRATION WITH A GRADIENT TUBE
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