791 search results - page 101 / 159 » Non-Linear Dimensionality Reduction |
130
click to vote
ICPR
2004
IEEE
16 years 5 months ago
2004
IEEE
Recent empirical work has shown that combining predictors can lead to significant reduction in generalization error. The individual predictors (weak learners) can be very simple, ...
135
Voted
ICPR
2002
IEEE
16 years 5 months ago
2002
IEEE
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...
127
click to vote
ICPR
2002
IEEE
16 years 5 months ago
2002
IEEE
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...
136
click to vote
ICPR
2002
IEEE
16 years 5 months ago
2002
IEEE
Manifold Pursuit (MP) extends Principal Component Analysis to be invariant to a desired group of image-plane transformations of an ensemble of un-aligned images. We derive a simpl...
138
click to vote
ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...