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SIAMNUM
2010
106views more  SIAMNUM 2010»
13 years 2 months ago
Approximation of the Buckling Problem for Reissner-Mindlin Plates
This paper deals with the approximation of the buckling coefficients and modes of a clamped plate modeled by the Reissner-Mindlin equations. These coefficients are related with the...
Carlo Lovadina, David Mora, Rodolfo Rodrígu...
ICML
2006
IEEE
14 years 8 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
CVPR
1997
IEEE
14 years 9 months ago
Efficient Approximation of Range Images Through Data-Dependent Adaptive Triangulations
This paper presents an efficient algorithm for generating adaptive triangular meshes from dense range images. The proposed technique consists of two stages. First, a quadrilateral...
Miguel Angel García, Angel Domingo Sappa, L...
NIPS
2000
13 years 9 months ago
A New Approximate Maximal Margin Classification Algorithm
A new incremental learning algorithm is described which approximates the maximal margin hyperplane w.r.t. norm p 2 for a set of linearly separable data. Our algorithm, called alm...
Claudio Gentile
PAKDD
2007
ACM
144views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Approximately Mining Recently Representative Patterns on Data Streams
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
Jia-Ling Koh, Yuan-Bin Don