335 search results - page 38 / 67 » Neighborly Embedded Manifolds |
68
Voted
GD
1999
Springer
15 years 1 months ago
1999
Springer
In this paper we present a novel approach for cluster-based drawing of large planar graphs that maintains planarity. Our technique works for arbitrary planar graphs and produces a ...
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
Although linear representations are frequently used in image analysis, their performances are seldom optimal in specific applications. This paper proposes a stochastic gradient al...
ESANN
2007
14 years 11 months ago
2007
Local algorithms for non-linear dimensionality reduction [1], [2], [3], [4], [5] and semi-supervised learning algorithms [6], [7] use spectral decomposition based on a nearest neig...
68
Voted
AAAI
2006
14 years 11 months ago
2006
Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...
59
Voted
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Application-specific dissimilarity functions can be used for learning from a set of objects represented by pairwise dissimilarity matrices in this context. These dissimilarities m...