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» Linear Manifold Clustering
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CGF
2005
126views more  CGF 2005»
15 years 18 days ago
FreeLence - Coding with Free Valences
We introduce FreeLence, a novel and simple single-rate compression coder for triangle manifold meshes. Our method uses free valences and exploits geometric information for connect...
Felix Kälberer, Konrad Polthier, Ulrich Reite...
86
Voted
COMPUTING
2004
143views more  COMPUTING 2004»
15 years 17 days ago
Biorthogonal Loop-Subdivision Wavelets
We present a biorthogonal wavelet construction for Loop subdivision, based on the lifting scheme. Our wavelet transform uses scaling functions that are recursively defined by Loop...
Martin Bertram
99
Voted
ICPR
2008
IEEE
16 years 1 months ago
Feature selection focused within error clusters
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
Henry S. Baird, Sui-Yu Wang
ICML
2007
IEEE
16 years 1 months ago
Supervised clustering of streaming data for email batch detection
We address the problem of detecting batches of emails that have been created according to the same template. This problem is motivated by the desire to filter spam more effectivel...
Peter Haider, Ulf Brefeld, Tobias Scheffer
99
Voted
ICML
2007
IEEE
16 years 1 months ago
Adaptive dimension reduction using discriminant analysis and K-means clustering
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
Chris H. Q. Ding, Tao Li