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» Simplifying reductions
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ICPR
2008
IEEE
14 years 1 months ago
Parameter-based reduction of Gaussian mixture models with a variational-Bayes approach
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
TVCG
2008
103views more  TVCG 2008»
13 years 7 months ago
Perceptually Guided Polygon Reduction
The properties of the human visual system are taken into account, along with the geometric aspects of an object, in a new surface remeshing algorithm and a new mesh simplification ...
Lijun Qu, Gary W. Meyer
SMA
2003
ACM
173views Solid Modeling» more  SMA 2003»
14 years 23 days ago
Automating the CAD/CAE dimensional reduction process
Dimensional reduction is a simplification technique that eliminates one or more dimensions from a boundary value problem. It results in significant computational savings with mini...
Krishnan Suresh
CRYPTO
2005
Springer
83views Cryptology» more  CRYPTO 2005»
14 years 1 months ago
A Practical Attack on a Braid Group Based Cryptographic Protocol
In this paper we present a practical heuristic attack on the Ko, Lee et al. key exchange protocol introduced at Crypto 2000 [10]. One of the ideas behind our attack is using Dehorn...
Alexei G. Myasnikov, Vladimir Shpilrain, Alexander...
TIP
2010
182views more  TIP 2010»
13 years 2 months ago
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...