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ICCV
2009
IEEE
14 years 7 months ago
Improving accuracy of geometric parameter estimation using projected score method
A fundamental problem in computer vision (CV) is the estimation of geometric parameters from multiple observations obtained from images; examples of such problems range from ellip...
Takayuki Okatani, Koichiro Deguchi
TMI
2010
150views more  TMI 2010»
14 years 4 months ago
Automatic Parameter Selection for Multimodal Image Registration
Over the past ten years similarity measures based on intensity distributions have become state-of-the-art in automatic multimodal image registration. An implementation for clinical...
Dieter A. Hahn, Volker Daum, Joachim Hornegger
ICASSP
2011
IEEE
14 years 1 months ago
Accurate parameter generation using fixed-point arithmetic for embedded HMM-based speech synthesizers
Parameter trajectory generation for HMM-based speech synthesis is practically achieved using only fixed-point arithmetic with 32-bit integers. Since processors for embedded devic...
Nobuyuki Nishizawa, Tsuneo Kato
ICML
2007
IEEE
15 years 10 months ago
Discriminant kernel and regularization parameter learning via semidefinite programming
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
Jieping Ye, Jianhui Chen, Shuiwang Ji
CVPR
2009
IEEE
15 years 4 months ago
On bias correction for geometric parameter estimation in computer vision
Maximum likelihood (ML) estimation is widely used in many computer vision problems involving the estimation of geometric parameters, from conic fitting to bundle adjustment for s...
Takayuki Okatani, Koichiro Deguchi