702 search results - page 53 / 141 » Learning Probabilistic Models of Relational Structure |
111
Voted
EMMCVPR
2005
Springer
15 years 6 months ago
2005
Springer
We present a novel approach to the matching of subgraphs for object recognition in computer vision. Feature similarities between object model and scene graph are complemented with ...
120
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
ICDM
2009
IEEE
14 years 10 months ago
2009
IEEE
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
84
Voted
COLING
2010
14 years 7 months ago
2010
We present an approach to model hidden attributes in the compositional semantics of adjective-noun phrases in a distributional model. For the representation of adjective meanings,...
104
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...