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ICCS
2007
Springer
15 years 10 months ago
Adaptive Sparse Grid Classification Using Grid Environments
Common techniques tackling the task of classification in data mining employ ansatz functions associated to training data points to fit the data as well as possible. Instead, the fe...
Dirk Pflüger, Ioan Lucian Muntean, Hans-Joach...
TOG
2002
165views more  TOG 2002»
15 years 6 months ago
CHARMS: a simple framework for adaptive simulation
Finite element solvers are a basic component of simulation applications; they are common in computer graphics, engineering, and medical simulations. Although adaptive solvers can ...
Eitan Grinspun, Petr Krysl, Peter Schröder
ICASSP
2008
IEEE
16 years 1 months ago
Contextually adaptive signal representation using conditional principal component analysis
The conventional method of generating a basis that is optimally adapted (in MSE) for representation of an ensemble of signals is Principal Component Analysis (PCA). A more ambitio...
Rosa M. Figueras i Ventura, Umesh Rajashekar, Zhou...
3DPVT
2002
IEEE
108views Visualization» more  3DPVT 2002»
15 years 11 months ago
Probabilistic 3D Data Fusion for Adaptive Resolution Surface Generation
In this paper we present an algorithm for adaptive resolution integration of 3D data collected from multiple distributed sensors. The input to the algorithm is a set of 3D surface...
Andrew E. Johnson, Roberto Manduchi
ICCAD
1994
IEEE
119views Hardware» more  ICCAD 1994»
15 years 10 months ago
Adaptive cut line selection in min-cut placement for large scale sea-of-gates arrays
We present a new min-cut based placement algorithm for large scale sea-of-gates arrays. In the past all such algorithms used a xed cut line sequence that is determined before min...
Kazuhiro Takahashi, Kazuo Nakajima, Masayuki Terai...