Sciweavers

96 search results - page 3 / 20
» Robust maximum likelihood estimation in Q-space MRI
Sort
View
ICPR
2000
IEEE
14 years 6 months ago
Reduction of Bias in Maximum Likelihood Ellipse Fitting
An improved maximum likelihood estimator for ellipse fitting based on the heteroscedastic errors-in-variables (HEIV) regression algorithm is proposed. The technique significantly ...
Bogdan Matei, Peter Meer
PAMI
2010
132views more  PAMI 2010»
13 years 4 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
ICML
2003
IEEE
14 years 6 months ago
Learning Mixture Models with the Latent Maximum Entropy Principle
We present a new approach to estimating mixture models based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from ...
Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin...
ICC
2009
IEEE
121views Communications» more  ICC 2009»
13 years 3 months ago
Channel Estimation and Tracking Schemes for the Pulse-Shaping OFDM Systems
Robust channel estimation scheme is essential for pulse-shaping OFDM systems in the multipath mobile environment. This paper proposes three types of channel estimation schemes for ...
Bayarpurev Mongol, Takaya Yamazato, Masaaki Kataya...
ICVGIP
2004
13 years 7 months ago
A Robust Nonparametric Estimation Framework for Implicit Image Models
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
Himanshu Arora, Maneesh Singh, Narendra Ahuja