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ICANN
2010
Springer
14 years 10 months ago
Deep Bottleneck Classifiers in Supervised Dimension Reduction
Deep autoencoder networks have successfully been applied in unsupervised dimension reduction. The autoencoder has a "bottleneck" middle layer of only a few hidden units, ...
Elina Parviainen
IUI
2005
ACM
15 years 4 months ago
Dimensions of adaptivity in mobile systems: personality and people's attitudes
In this work, we present a study about adaptation on a mobile museum guide aiming at investigating the relationships between personality traits and the attitudes toward some basic...
Ilenia Graziola, Fabio Pianesi, Massimo Zancanaro,...
SDM
2003
SIAM
120views Data Mining» more  SDM 2003»
15 years 6 hour ago
Estimation of Topological Dimension
We present two extensions of the algorithm by Broomhead et al [2] which is based on the idea that singular values that scale linearly with the radius of the data ball can be explo...
Douglas R. Hundley, Michael J. Kirby
VDA
2010
166views Visualization» more  VDA 2010»
14 years 8 months ago
Critical region analysis of scalar fields in arbitrary dimensions
The exploration of multidimensional scalar fields is commonly based on the knowledge of the topology of their isosurfaces. The latter is established through the analysis of critic...
Madjid Allili, Marc Ethier, Tomasz Kaczynski
FOCS
2009
IEEE
15 years 5 months ago
Orthogonal Range Reporting in Three and Higher Dimensions
In orthogonal range reporting we are to preprocess N points in d-dimensional space so that the points inside a d-dimensional axis-aligned query box can be reported efficiently. T...
Peyman Afshani, Lars Arge, Kasper Dalgaard Larsen