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TNN
2010
176views Management» more  TNN 2010»
14 years 6 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
14 years 6 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
15 years 4 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
15 years 3 months 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
15 years 6 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....