785 search results - page 75 / 157 » Semi-Supervised Dimensionality Reduction |
139
Voted
IJCAI
2007
15 years 5 months ago
2007
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
108
Voted
NPL
1998
15 years 3 months ago
1998
Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
106
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WSC
2004
15 years 5 months ago
2004
This paper investigates the adequacy of various principal components (p.c.) approaches as data reduction schemes for processing contingent claim valuations on baskets of equities....
118
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ICPR
2006
IEEE
16 years 4 months ago
2006
IEEE
This work presents the application of a novel technique on dimensionality reduction to deal with multispectral images. A distance based on mutual information is used to construct ...
116
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COMPGEOM
2009
ACM
15 years 10 months ago
2009
ACM
Nonlinear dimensionality reduction (NLDR) algorithms such as Isomap, LLE and Laplacian Eigenmaps address the problem of representing high-dimensional nonlinear data in terms of lo...