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» Learning Hierarchical Shape Models from Examples
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VIP
2003
13 years 9 months ago
3D Reconstruction of Single Picture
This paper presents a novel approach for creating curvilinear, texture mapped, 3D scene models from a single painting or photograph with no prior internal knowledge about the shap...
Zhao Ting, David Dagan Feng, Tan Zheng
ALT
2006
Springer
14 years 4 months ago
Iterative Learning from Positive Data and Negative Counterexamples
A model for learning in the limit is defined where a (so-called iterative) learner gets all positive examples from the target language, tests every new conjecture with a teacher ...
Sanjay Jain, Efim B. Kinber
ICDM
2006
IEEE
110views Data Mining» more  ICDM 2006»
14 years 1 months ago
Manifold Clustering of Shapes
Shape clustering can significantly facilitate the automatic labeling of objects present in image collections. For example, it could outline the existing groups of pathological ce...
Dragomir Yankov, Eamonn J. Keogh
ACL
2008
13 years 9 months ago
Learning Bigrams from Unigrams
Traditional wisdom holds that once documents are turned into bag-of-words (unigram count) vectors, word orders are completely lost. We introduce an approach that, perhaps surprisi...
Xiaojin Zhu, Andrew B. Goldberg, Michael Rabbat, R...
TIP
1998
456views more  TIP 1998»
12 years 4 months ago
Snakes, Shapes, and Gradient Vector Flow
Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems associated with initiali...
Chenyang Xu, Jerry L. Prince