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TNN
2010
176views Management» more  TNN 2010»
13 years 3 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
MOC
2010
13 years 4 months ago
Computing a lower bound for the canonical height on elliptic curves over number fields
Computing a lower bound for the canonical height is a crucial step in determining a Mordell
Thotsaphon Thongjunthug
ARITH
1999
IEEE
14 years 1 months ago
Digit-Recurrence Algorithm for Computing Euclidean Norm of a 3-D Vector
A digit-recurrence algorithm for computing the Euclidean norm of a 3-dimensional vector is proposed. Starting from the vector component with the highest order of magnitude as the ...
Naofumi Takagi, Seiji Kuwahara
SIGGRAPH
1995
ACM
14 years 22 days ago
Automated learning of muscle-actuated locomotion through control abstraction
Control Abstraction Radek Grzeszczuk and Demetri Terzopoulos Department of Computer Science, University of Toronto 1
Radek Grzeszczuk, Demetri Terzopoulos
ICCS
2009
Springer
14 years 3 months ago
A Scalable and Adaptable Solution Framework within Components of the Community Climate System Model
Abstract. A framework for a fully implicit solution method is implemented into (1) the High Order Methods Modeling Environment (HOMME), which is a spectral element dynamical core o...
Katherine J. Evans, Damian W. I. Rouson, Andrew G....