Manifold alignment

Manifold alignment is a class of machine learning algorithms that produce projections between sets of data, given that the original data sets lie on… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

2003-2016
05101520032016

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
We introduce a method for manifold alignment of different modalities (or domains) of remote sensing images. The problem is… (More)
  • table I
  • figure 1
  • figure 2
  • table II
  • figure 3
Is this relevant?
2013
2013
Lip reading from visual channels remains a challenging topic considering the various speaking characteristics. In this paper, we… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2013
2013
This paper proposes a novel algorithm for manifold alignment preserving global geometry. This approach constructs mapping… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2011
Highly Cited
2011
We propose a manifold alignment based approach for heterogeneous domain adaptation. A key aspect of this approach is to construct… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2010
2010
We introduce a novel approach to multiscale manifold alignment. Our approach goes beyond the previously studied approaches in… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 10
Is this relevant?
Highly Cited
2009
Highly Cited
2009
Manifold alignment has been found to be useful in many areas of machine learning and data mining. In this paper we introduce a… (More)
  • figure 1
  • figure 2
  • figure 4
  • table 1
  • table 4
Is this relevant?
2009
2009
Manifold alignment has been found to be useful in many fields of machine learning and data mining. In this paper we summarize our… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 5
  • figure 6
Is this relevant?
Highly Cited
2008
Highly Cited
2008
In this paper we introduce a novel approach to manifold alignment, based on Procrustes analysis. Our approach differs from "semi… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
2008
2008
Manifold alignment (Ham et al., 2005) is about mapping several datasets into a global space, and is of great importance in… (More)
  • figure 2
  • figure 6
Is this relevant?
2007
2007
We study the problem of manifold alignment, which aims at “aligning” different data sets that share a similar intrinsic manifold… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?