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ICPR
2008
IEEE
15 years 6 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»
14 years 11 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»
15 years 4 months 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»
15 years 5 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»
14 years 6 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...