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ACCV
1998
Springer
14 years 1 months ago
Learning Multiscale Image Models of 2D Object Classes
This paper isconcerned with learning the canonical gray scalestructure of the images of a classof objects. Structure is defined in terms of the geometry and layout of salientimage...
Benoit Perrin, Narendra Ahuja, Narayan Srinivasa
ICGI
2004
Springer
14 years 2 months ago
Learning Node Selecting Tree Transducer from Completely Annotated Examples
Abstract. A base problem in Web information extraction is to find appropriate queries for informative nodes in trees. We propose to learn queries for nodes in trees automatically ...
Julien Carme, Aurélien Lemay, Joachim Niehr...
IJCNN
2007
IEEE
14 years 3 months ago
Transfer Learning in Decision Trees
— Most research in machine learning focuses on scenarios in which a learner faces a single learning task, independently of other learning tasks or prior knowledge. In reality, ho...
Jun Won Lee, Christophe G. Giraud-Carrier
NIPS
2007
13 years 10 months ago
Learning the structure of manifolds using random projections
We present a simple variant of the k-d tree which automatically adapts to intrinsic low dimensional structure in data.
Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul ...
VIS
2009
IEEE
212views Visualization» more  VIS 2009»
14 years 10 months ago
Applying Manifold Learning to Plotting Approximate Contour Trees
Shigeo Takahashi, Issei Fujishiro, Masato Okada