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» Group-theoretic Algorithms for Matrix Multiplication
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ICML
2008
IEEE
14 years 9 months ago
Training SVM with indefinite kernels
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
Jianhui Chen, Jieping Ye
IEEECGIV
2009
IEEE
14 years 3 months ago
Monomial Forms for Curves in CAGD with their Applications
—There are several methods used for plotting curves in CAGD, e.g., by directly computing their basis functions (polynomials) or using their recursive algorithms. For the former m...
Chanon Aphirukmatakun, Natasha Dejdumrong
TSMC
2010
13 years 3 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris
ICASSP
2011
IEEE
13 years 6 days ago
A fast transform for acoustic imaging with separable arrays
Acoustic imaging is a computationally intensive and ill-conditioned inverse problem, which involves estimating high resolution source distributions with large microphone arrays. I...
Flavio P. Ribeiro, Vitor H. Nascimento
CORR
2011
Springer
243views Education» more  CORR 2011»
13 years 3 months ago
Deterministic Network Model Revisited: An Algebraic Network Coding Approach
Abstract—The capacity of multiuser networks has been a longstanding problem in information theory. Recently, Avestimehr et al. have proposed a deterministic network model to appr...
MinJi Kim, Elona Erez, Edmund M. Yeh, Muriel M&eac...