723 search results - page 56 / 145 » Learning a Hidden Subgraph |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
This paper investigates compression of 3D objects in computer graphics using manifold learning. Spectral compression uses the eigenvectors of the graph Laplacian of an object'...
CVPR
2000
IEEE
14 years 1 months ago
2000
IEEE
We present a novel approach for learning patterns (sub-images) shared by multiple images without prior knowledge about the number and the positions of the patterns in the images. ...
DIAGRAMS
2004
Springer
14 years 2 months ago
2004
Springer
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
JMLR
2006
13 years 8 months ago
2006
We discuss the problem of learning to rank labels from a real valued feedback associated with each label. We cast the feedback as a preferences graph where the nodes of the graph ...
ICMLA
2009
13 years 6 months ago
2009
Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...