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CVPR
2008
IEEE
16 years 6 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
TEDU
2011
243views Education» more  TEDU 2011»
14 years 11 months ago
Sketch Based 3D Character Deformation
Most 3D character editing tools are complex and non-intuitive. It takes lot of skill and labor from the artists to create even a draft 3D humanoid model. This paper proposes an int...
Mo Li, Golam Ashraf
PRL
2010
173views more  PRL 2010»
15 years 2 months ago
Resolving stereo matching errors due to repetitive structures using model information
This study regards the problem of incorrect stereo matches due to the occurrence of repetitive structures in the scene. In stereo vision, repetitive structures may lead to “phan...
Björn Barrois, Marcus Konrad, Christian W&oum...
ICCV
2005
IEEE
15 years 9 months ago
Learning Non-Generative Grammatical Models for Document Analysis
— We present a general approach for the hierarchical segmentation and labeling of document layout structures. This approach models document layout as a grammar and performs a glo...
Michael Shilman, Percy Liang, Paul A. Viola
ICCAD
2006
IEEE
152views Hardware» more  ICCAD 2006»
16 years 29 days ago
Performance-oriented statistical parameter reduction of parameterized systems via reduced rank regression
Process variations in modern VLSI technologies are growing in both magnitude and dimensionality. To assess performance variability, complex simulation and performance models param...
Zhuo Feng, Peng Li