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ICANN
2010
Springer
15 years 7 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
CGF
2008
113views more  CGF 2008»
15 years 6 months ago
Surface sampling and the intrinsic Voronoi diagram
We develop adaptive sampling criteria which guarantee a topologically faithful mesh and demonstrate an improvement and simplification over earlier results, albeit restricted to 2D...
Ramsay Dyer, Hao Zhang 0002, Torsten Möller
ARSCOM
2005
92views more  ARSCOM 2005»
15 years 6 months ago
Binary Strings Without Odd Runs of Zeros
We look at binary strings of length n which contain no odd run of zeros and express the total number of such strings, the number of zeros, the number of ones, the total number of ...
Ralph Grimaldi, Silvia Heubach
SIAMCO
2000
137views more  SIAMCO 2000»
15 years 6 months ago
On a Class of Diffeomorphic Matching Problems in One Dimension
We study a class of functional which can be used for matching objects which can be represented as mappings from a fixed interval, I, to some "feature space." This class o...
Alain Trouvé, Laurent Younes
MP
1998
134views more  MP 1998»
15 years 6 months ago
Second-order global optimality conditions for convex composite optimization
In recent years second-order sufficient conditions of an isolated local minimizer for convex composite optimization problems have been established. In this paper, second-order opt...
Xiaoqi Yang