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» Multihomogeneous Newton methods
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JMLR
2012
11 years 11 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
IJCAI
1989
13 years 9 months ago
An Approximate Solver for Symbolic Equations
This paper describes a program, called NEWTON, that finds approximate symbolic solutions to parameterized equations in one variable. N E W T O N derives an initial approximation b...
Elisha Sacks
ECCV
2010
Springer
14 years 17 days ago
Bundle Adjustment in the Large
Abstract. We present the design and implementation of a new inexact Newton type algorithm for solving large-scale bundle adjustment problems with tens of thousands of images. We ex...
ACCV
2010
Springer
13 years 3 months ago
Colour Dynamic Photometric Stereo for Textured Surfaces
Abstract. In this paper we present a novel method to apply photometric stereo on textured dynamic surfaces. We aim at exploiting the high accuracy of photometric stereo and reconst...
Zsolt Jankó, Amaël Delaunoy, Emmanuel ...
DAC
1999
ACM
14 years 9 months ago
Time-Mapped Harmonic Balance
Matrix-implicit Krylov-subspace methods have made it possible to efficiently compute the periodic steady-state of large circuits using either the time-domain shooting-Newton metho...
Ognen J. Nastov, Jacob White