Kernel (linear algebra)

Known as: Nullspace (matrix), Kernel (matrix), Kernel of a matrix 
In mathematics, and more specifically in linear algebra and functional analysis, the kernel (also known as null space or nullspace) of a linear map L… (More)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
Speech enhancement and separation are core problems in audio signal processing, with commercial applications in devices as… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2016
Highly Cited
2016
Most existing person re-identification (re-id) methods focus on learning the optimal distance metrics across camera views… (More)
  • figure 1
  • table 2
  • table 1
  • table 3
  • table 4
Is this relevant?
Highly Cited
2011
Highly Cited
2011
Full-duplex relaying is more spectrally efficient than half-duplex relaying as only one channel use is needed per two hops… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2009
Highly Cited
2009
We investigate the symmetry algebra of the recently proposed field theory on a doubled torus that describes closed string modes… (More)
Is this relevant?
Highly Cited
2009
Highly Cited
2009
This paper considers a cooperative and cognitive radio (CCR) system where two secondary users (SUs) exchange their information… (More)
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
Highly Cited
2007
Highly Cited
2007
The estimation of sparse shallow-water acoustic communication channels and the impact of estimation performance on the… (More)
  • figure 1
  • figure 2
  • table I
  • table II
  • table III
Is this relevant?
Highly Cited
2003
Highly Cited
2003
This paper addresses the problem of impedance control for flexible joint robots based on a singular perturbation approach. Some… (More)
  • figure 1
  • table I
  • figure 2
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2003
Highly Cited
2003
We describe a method to recover the underlying parametrization of scattered data (mi) lying on a manifold M embedded in high… (More)
  • figure 1
Is this relevant?
Highly Cited
2002
Highly Cited
2002
Interior methods are an omnipresent, conspicuous feature of the constrained optimization landscape today, but it was not always… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2001
Highly Cited
2001
Numerical solution of extremely large and ill conditioned eigenvalue problems is attracting a growing attention recently as such… (More)
  • figure 5.1
  • figure 5.2
  • figure 5.3
  • figure 5.4
  • figure 7.1
Is this relevant?