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» Active Shape Model Segmentation with Optimal Features
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KDD
2007
ACM
202views Data Mining» more  KDD 2007»
15 years 10 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...

Tutorial
1113views
13 years 5 months ago
Snakes, Shapes, and Gradient vector flow
Active contours, or snakes, are computer-generated curves that move within images to find object boundaries. Its 3D version is often known as deformable models or active surfaces ...

Dataset
998views
13 years 5 months ago
Snakes, Shapes, and Gradient vector flow
Active contours, or snakes, are computer-generated curves that move within images to find object boundaries. Its 3D version is often known as deformable models or active surfaces ...
ICIP
2006
IEEE
15 years 11 months ago
Segmenting Multiple Familiar Objects Under Mutual Occlusion
We address the problem of segmenting multiple similar objects by optimizing a Chan-Vese-like [1] functional with respect to a mixture of level set functions. We solve the variatio...
Qilong Zhang, Robert Pless
ICCV
2003
IEEE
15 years 11 months ago
Landmark-based Shape Deformation with Topology-Preserving Constraints
This paper presents a novel approach for landmarkbased shape deformation, in which fitting error and shape difference are formulated into a support vector machine (SVM) regression...
Song Wang, Jim Xiuquan Ji, Zhi-Pei Liang