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» Learning Hierarchical Shape Models from Examples
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SI3D
2003
ACM
14 years 1 months ago
An automatic modeling of human bodies from sizing parameters
In this paper, we present an automatic, runtime modeler for modeling realistic, animatable human bodies. A user can generate a new model or modify an existing one simply by inputt...
Hyewon Seo, Nadia Magnenat-Thalmann
CVPR
2008
IEEE
14 years 9 months ago
Sparsity, redundancy and optimal image support towards knowledge-based segmentation
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
Salma Essafi, Georg Langs, Nikos Paragios
IPMI
2001
Springer
14 years 8 months ago
Deformation Analysis for Shape Based Classification
Statistical analysis of anatomical shape differences between two different populations can be reduced to a classification problem, i.e., learning a classifier function for assignin...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
AADA
2011
12 years 7 months ago
Sparse Template-Based variational Image Segmentation
We introduce a variational approach to image segmentation based on sparse coverings of image domains by shape templates. The objective function combines a data term that achieves ...
Dirk Breitenreicher, Jan Lellmann, Christoph Schn&...
ICANN
2009
Springer
14 years 12 days ago
Learning SVMs from Sloppily Labeled Data
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
Guillaume Stempfel, Liva Ralaivola