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TSMC
2010
15 years 27 days ago
Toward Unconstrained Ear Recognition From Two-Dimensional Images
Abstract--Ear recognition, as a biometric, has several advantages. In particular, ears can be measured remotely and are also relatively static in size and structure for each indivi...
John D. Bustard, Mark S. Nixon
TSMC
2010
15 years 27 days 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
TSMC
2010
15 years 27 days ago
Distributed Explicit Rate Schemes in Multi-Input-Multi-Output Network Systems
Abstract--With the ever-increasing wireless/wired data applications recently, considerable efforts have focused on the design of distributed explicit rate flow control schemes for ...
Naixue Xiong, Athanasios V. Vasilakos, Laurence Ti...
TSP
2010
15 years 27 days ago
Double sparsity: learning sparse dictionaries for sparse signal approximation
Abstract--An efficient and flexible dictionary structure is proposed for sparse and redundant signal representation. The proposed sparse dictionary is based on a sparsity model of ...
Ron Rubinstein, Michael Zibulevsky, Michael Elad
TSP
2010
15 years 27 days ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...
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