2033 search results - page 160 / 407 » Ranking on Data Manifolds |
151
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CANDC
2009
ACM
16 years 1 months ago
2009
ACM
We present a sub-symbolic computational model for effecting knowledge re-representation and insight. Given a set of data, manifold learning is used to automatically organize the d...
174
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ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
160
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ICANN
2003
Springer
15 years 11 months ago
2003
Springer
Locally linear embedding (LLE) is a recently proposed method for unsupervised nonlinear dimensionality reduction. It has a number of attractive features: it does not require an ite...
154
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ESANN
2007
15 years 8 months ago
2007
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
158
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ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
The goal of semi-supervised image segmentation is to obtain the segmentation from a partially labeled image. By utilizing the image manifold structure in labeled and unlabeled pix...