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» On the Optimality of the Dimensionality Reduction Method
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ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
15 years 10 months ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
ECCV
2010
Springer
15 years 6 months ago
Geodesic Shape Retrieval via Optimal Mass Transport
This paper presents a new method for 2-D and 3-D shape retrieval based on geodesic signatures. These signatures are high dimensional statistical distributions computed by extractin...
Julien Rabin, Gabriel Peyré, Laurent D. Coh...
PKC
2010
Springer
138views Cryptology» more  PKC 2010»
15 years 10 months ago
Maximizing Small Root Bounds by Linearization and Applications to Small Secret Exponent RSA
We present an elementary method to construct optimized lattices that are used for finding small roots of polynomial equations. Former methods first construct some large lattice i...
Mathias Herrmann, Alexander May
IFIP
2007
Springer
16 years 9 days ago
Elliptic Control by Penalty Techniques with Control Reduction
The paper deals with the numerical treatment of optimal control problems with bounded distributed controls and elliptic state equations by a wider class of barrier-penalty methods...
Christian Grossmann, Holger Kunz, Robert Meischner
CORR
2008
Springer
85views Education» more  CORR 2008»
15 years 6 months ago
Computationally Efficient Estimators for Dimension Reductions Using Stable Random Projections
The method of stable random projections is an efficient tool for computing the l distances using low memory, where 0 < 2 may be viewed as a tuning parameter. This method boil...
Ping Li