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» On the convergence of Hill's method
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IJCNN
2000
IEEE
15 years 4 months ago
A Training Method with Small Computation for Classification
A training data selection method for multi-class data is proposed. This method can be used for multilayer neural networks (MLNN). The MLNN can be applied to pattern classification...
Kazuyuki Hara, Kenji Nakayama
98
Voted
JGTOOLS
2007
144views more  JGTOOLS 2007»
15 years 20 days ago
Faster Relief Mapping using the Secant Method
Relief mapping using the secant method offers an efficient method for adding per pixel height field based displacement to an arbitrary polygonal mesh in real time. The technique...
Eric Risser, Musawir Shah, Sumanta N. Pattanaik
147
Voted
CVPR
2009
IEEE
16 years 8 months ago
On Compositional Image Alignment with an Application to Active Appearance Models
Efficient and accurate fitting of Active Appearance Models (AAM) is a key requirement for many applications. The most efficient fitting algorithm today is Inverse Compositional ...
Brian Amberg (University of Basel), Andrew Blake (...
INFORMS
2008
62views more  INFORMS 2008»
15 years 23 days ago
A Stochastic Approximation Method to Compute Bid Prices in Network Revenue Management Problems
We present a stochastic approximation method to compute bid prices in network revenue management problems. The key idea is to visualize the total expected revenue as a function of...
Huseyin Topaloglu
ICASSP
2009
IEEE
15 years 7 months ago
Block Jacobi-type methods for non-orthogonal joint diagonalisation
In this paper, we study the problem of non-orthogonal joint diagonalisation of a set of real symmetric matrices. A family of block Jacobitype methods are proposed to optimise two ...
Hao Shen, Knut Hüper