1224 search results - page 48 / 245 » On the Optimality of the Dimensionality Reduction Method |
168
click to vote
ICANN
2010
Springer
15 years 6 months ago
2010
Springer
Deep autoencoder networks have successfully been applied in unsupervised dimension reduction. The autoencoder has a "bottleneck" middle layer of only a few hidden units, ...
243
click to vote
JMLR
2010
15 years 28 days ago
2010
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
166
click to vote
DATESO
2004
15 years 7 months ago
2004
Abstract. In the area of information retrieval, the dimension of document vectors plays an important role. Firstly, with higher dimensions index structures suffer the "curse o...
179
click to vote
PR
2006
15 years 6 months ago
2006
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
132
click to vote
SIAMNUM
2010
15 years 26 days ago
2010
Hyperbolic cross approximations by some classical orthogonal polynomials/functions in both bounded and unbounded domains are considered in this paper. Optimal error estimates in pr...