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ICIAP
2009
ACM
16 years 5 months ago
Multi-class Binary Symbol Classification with Circular Blurred Shape Models
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
CIKM
2009
Springer
15 years 11 months ago
Helping editors choose better seed sets for entity set expansion
Sets of named entities are used heavily at commercial search engines such as Google, Yahoo and Bing. Acquiring sets of entities typically consists of combining semi-supervised exp...
Vishnu Vyas, Patrick Pantel, Eric Crestan
CVPR
2000
IEEE
16 years 6 months ago
Recovering Non-Rigid 3D Shape from Image Streams
This paper addresses the problem of recovering 3D non-rigid shape models from image sequences. For example, given a video recording of a talking person, we would like to estimate ...
Christoph Bregler, Aaron Hertzmann, Henning Bierma...
ICML
2007
IEEE
16 years 5 months ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar
MM
2004
ACM
133views Multimedia» more  MM 2004»
15 years 9 months ago
Interactive retrieval of 3D shape models using physical objects
We present a novel method for interactive retrieval of 3D shapes using physical objects. Our method is based on simple physical 3D interaction with a set of tangible blocks. As th...
Hiroyasu Ichida, Yuichi Itoh, Yoshifumi Kitamura, ...