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» Non-Linear Dimensionality Reduction
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IWANN
2005
Springer
15 years 10 months ago
Heuristic Search over a Ranking for Feature Selection
In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited feature set for distinguishing experiment classes in hig...
Roberto Ruiz, José Cristóbal Riquelm...
EUROCAST
2003
Springer
138views Hardware» more  EUROCAST 2003»
15 years 9 months ago
Coloring of DT-MRI Fiber Traces Using Laplacian Eigenmaps
We propose a novel post processing method for visualization of fiber traces from DT-MRI data. Using a recently proposed non-linear dimensionality reduction technique, Laplacian ei...
Anders Brun, Hae-Jeong Park, Hans Knutsson, Carl-F...
124
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ICANN
2003
Springer
15 years 9 months ago
Supervised Locally Linear Embedding
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...
Dick de Ridder, Olga Kouropteva, Oleg Okun, Matti ...
ICPR
2002
IEEE
15 years 9 months ago
Determining a Suitable Metric when Using Non-Negative Matrix Factorization
The Non-negative Matrix Factorization technique (NMF) has been recently proposed for dimensionality reduction. NMF is capable to produce a region- or partbased representation of o...
David Guillamet, Jordi Vitrià
NIPS
2004
15 years 6 months ago
Semi-parametric Exponential Family PCA
We present a semi-parametric latent variable model based technique for density modelling, dimensionality reduction and visualization. Unlike previous methods, we estimate the late...
Sajama, Alon Orlitsky