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» Hierarchical Structuring of Data on Manifolds
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138
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DSP
2007
15 years 15 days ago
Blind separation of nonlinear mixtures by variational Bayesian learning
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
Antti Honkela, Harri Valpola, Alexander Ilin, Juha...
183
Voted
SIGMOD
2008
ACM
103views Database» more  SIGMOD 2008»
16 years 20 days ago
XArch: archiving scientific and reference data
Database archiving is important for the retrieval of old versions of a database and for temporal queries over the history of data. We demonstrate XArch, a management system for ma...
Heiko Müller, Ioannis Koltsidas, Peter Bunema...
165
Voted
JMLR
2012
13 years 3 months ago
Deep Boltzmann Machines as Feed-Forward Hierarchies
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
Grégoire Montavon, Mikio L. Braun, Klaus-Ro...
156
Voted
COMPGEOM
2010
ACM
15 years 5 months ago
A dynamic data structure for approximate range searching
In this paper, we introduce a simple, randomized dynamic data structure for storing multidimensional point sets, called a quadtreap. This data structure is a randomized, balanced ...
David M. Mount, Eunhui Park
DDEP
2000
Springer
15 years 4 months ago
GODDAG: A Data Structure for Overlapping Hierarchies
Abstract. Notations like SGML and XML represent document structures using tree structures; while this is in general a step forward from earlier systems, it creates certain difficul...
C. M. Sperberg-McQueen, Claus Huitfeldt