1658 search results - page 63 / 332 » Learning Unknown Graphs |
142
click to vote
CVPR
2008
IEEE
16 years 7 months ago
2008
IEEE
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in partially labeling a ...
141
click to vote
KDD
2006
ACM
16 years 5 months ago
2006
ACM
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
135
Voted
SODA
2001
ACM
15 years 6 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
134
click to vote
ICMLA
2009
15 years 2 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...
115
click to vote
ICIP
2005
IEEE
16 years 6 months ago
2005
IEEE
We present a novel and intuitive framework for building modular vision systems for complex tasks such as surveillance applications. Inspired by graphical models, especially factor...