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» Quantizing Density Estimators
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TNN
2010
143views Management» more  TNN 2010»
13 years 4 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
CVPR
2004
IEEE
15 years 2 days ago
A GMM Parts Based Face Representation for Improved Verification through Relevance Adaptation
Motivated by the success of parts based representations in face detection we have attempted to address some of the problems associated with applying such a philosophy to the task ...
Simon Lucey, Tsuhan Chen
CVPR
2008
IEEE
15 years 2 days ago
Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
ECCV
2004
Springer
14 years 12 months ago
Image and Video Segmentation by Anisotropic Kernel Mean Shift
Mean shift is a nonparametric estimator of density which has been applied to image and video segmentation. Traditional mean shift based segmentation uses a radially symmetric kerne...
Jue Wang, Bo Thiesson, Yingqing Xu, Michael F. Coh...
MICCAI
2006
Springer
14 years 11 months ago
Extrapolating Tumor Invasion Margins for Physiologically Determined Radiotherapy Regions
Abstract. In radiotherapy, the constant margin taken around the visible tumor is a very coarse approximation of the invasion margin of cancerous cells. In this article, a new formu...
Ender Konukoglu, Olivier Clatz, Pierre-Yves Bondia...