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» Large Scale Learning of Active Shape Models
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JMLR
2006
108views more  JMLR 2006»
13 years 7 months ago
The Interplay of Optimization and Machine Learning Research
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...
Kristin P. Bennett, Emilio Parrado-Hernánde...
ISBI
2009
IEEE
14 years 2 months ago
Structural Annotation of EM Images by Graph Cut
Biological images have the potential to reveal complex signatures that may not be amenable to morphological modeling in terms of shape, location, texture, and color. An effective ...
Hang Chang, Manfred Auer, Bahram Parvin
MICCAI
2005
Springer
14 years 8 months ago
Synthetic Ground Truth for Validation of Brain Tumor MRI Segmentation
Validation and method of comparison for segmentation of magnetic resonance images (MRI) presenting pathology is a challenging task due to the lack of reliable ground truth. We prop...
Marcel Prastawa, Elizabeth Bullitt, Guido Gerig
EMMCVPR
2001
Springer
14 years 2 days ago
3D Flux Maximizing Flows
A number of geometric active contour and surface models have been proposed for shape segmentation in the literature. The essential idea is to evolve a curve (in 2D) or a surface (i...
Kaleem Siddiqi, Alexander Vasilevskiy
CMSB
2008
Springer
13 years 9 months ago
Automatic Complexity Analysis and Model Reduction of Nonlinear Biochemical Systems
Kinetic models for biochemical systems often comprise a large amount of coupled differential equations with species concentrations varying on different time scales. In this paper w...
Dirk Lebiedz, Dominik Skanda, Marc Fein