2695 search results - page 120 / 539 » Learning Graph Matching |
133
Voted
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
A critical problem in cluster ensemble research is how to combine multiple clusterings to yield a final superior clustering result. Leveraging advanced graph partitioning techniqu...
124
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
115
click to vote
NIPS
2000
15 years 4 months ago
2000
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
120
click to vote
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is co...
156
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CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
We present a fast graph cut algorithm for planar graphs.
It is based on the graph theoretical work [2] and leads to an
efficient method that we apply on shape matching and im-
a...