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MICCAI
2000
Springer
15 years 3 months ago
Small Sample Size Learning for Shape Analysis of Anatomical Structures
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
ECCV
2008
Springer
16 years 1 months ago
Local Regularization for Multiclass Classification Facing Significant Intraclass Variations
We propose a new local learning scheme that is based on the principle of decisiveness: the learned classifier is expected to exhibit large variability in the direction of the test ...
Lior Wolf, Yoni Donner
ICIP
2010
IEEE
14 years 9 months ago
3D vertebrae segmentation using graph cuts with shape prior constraints
Osteoporosis is a bone disease characterized by a reduction in bone mass, resulting in an increased risk of fractures. To diagnose the osteoporosis accurately, bone mineral densit...
Melih S. Aslan, Asem M. Ali, Dongqing Chen, Ben Ar...
ICDAR
2007
IEEE
15 years 6 months ago
Extraction of Vectorized Graphical Information from Scientific Chart Images
Graphical components information extraction is a crucial step in the chart recognition and understanding process. However, existing methods of information extraction from chart im...
Weihua Huang, Ruizhe Liu, Chew Lim Tan
DSN
2009
IEEE
15 years 6 months ago
System log pre-processing to improve failure prediction
Log preprocessing, a process applied on the raw log before applying a predictive method, is of paramount importance to failure prediction and diagnosis. While existing filtering ...
Ziming Zheng, Zhiling Lan, Byung-Hoon Park, Al Gei...