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IJCNN
2008
IEEE
16 years 1 months ago
Sparse support vector machines trained in the reduced empirical feature space
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
Kazuki Iwamura, Shigeo Abe
IFIP
2005
Springer
16 years 4 days ago
On Warm Starts for Interior Methods
An appealing feature of interior methods for linear programming is that the number of iterations required to solve a problem tends to be relatively insensitive to the choice of in...
Anders Forsgren
DAC
2003
ACM
15 years 12 months ago
Symbolic analysis of analog circuits with hard nonlinearity
A new methodology is presented to solve a strongly nonlinear circuit, characterized by Piece-Wise Linear (PWL) functions, symbolically and explicitly in terms of its circuit param...
Alicia Manthe, Zhao Li, C.-J. Richard Shi
AIPS
2006
15 years 8 months ago
Solving Factored MDPs with Exponential-Family Transition Models
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
ICCV
2001
IEEE
16 years 8 months ago
Color Eigenflows: Statistical Modeling of Joint Color Changes
We develop a linear model of commonly observed joint color changes in images due to variation in lighting and certain non-geometric camera parameters. This is done by observing ho...
Erik G. Miller, Kinh Tieu