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ICPR
2006
IEEE
15 years 11 months ago
Dimensionality Reduction with Adaptive Kernels
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
Shuicheng Yan, Xiaoou Tang
ICPR
2004
IEEE
15 years 11 months ago
Feature Subset Selection using ICA for Classifying Emphysema in HRCT Images
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
Mithun Nagendra Prasad, Arcot Sowmya, Inge Koch
ICPR
2004
IEEE
15 years 11 months ago
Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
Daniel Gatica-Perez, Dong Zhang, Stan Z. Li
MICCAI
2006
Springer
15 years 10 months ago
Detecting Acromegaly: Screening for Disease with a Morphable Model
Acromegaly is a rare disorder which affects about 50 of every million people. The disease typically causes swelling of the hands, feet, and face, and eventually permanent changes t...
Erik G. Learned-Miller, Qifeng Lu, Angela Paisley,...
IPMI
2007
Springer
15 years 10 months ago
Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI
This study evaluates a robust parametric modeling approach for computer-aided detection (CAD) of vertebrae column metastases in whole-body MRI. Our method involves constructing a m...
Anna K. Jerebko, G. P. Schmidt, Xiang Sean Zhou, J...