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» Shape Priors using Manifold Learning Techniques
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LEGE
2003
106views Education» more  LEGE 2003»
15 years 3 months ago
Shaping e-Learning Applications for a Service Oriented Grid
The paper discusses technical issues related to establishment of e-learning services on a grid. The XML based technology for implementation of e_learning application in the form o...
Vytautas Reklaitis, Kazys Baniulis, Toshio Okamoto
112
Voted
ISBI
2007
IEEE
15 years 8 months ago
Locally Adaptive Autoregressive Active Models for Segmentation of 3d Anatomical Structures
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
ICPR
2006
IEEE
16 years 3 months ago
Part-Based Probabilistic Point Matching
Correspondence algorithms typically struggle with shapes that display part-based variation. We present a probabilistic approach that matches shapes using independent part transfor...
Graham McNeill, Sethu Vijayakumar
MICCAI
2000
Springer
15 years 5 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 3 months ago
Image Segmentation by Branch-and-Mincut
Efficient global optimization techniques such as graph cut exist for energies corresponding to binary image segmentation from lowlevel cues. However, introducing a high-level prior...
Victor S. Lempitsky, Andrew Blake, Carsten Rother