697 search results - page 12 / 140 » Learning a Hidden Hypergraph |
ICDAR
2009
IEEE
14 years 4 months ago
2009
IEEE
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
CORR
2010
Springer
13 years 10 months ago
2010
Springer
In many networks, vertices have hidden attributes that are correlated with the network's topology. For instance, in social networks, people are more likely to be friends if t...
ECCV
2006
Springer
14 years 11 months ago
2006
Springer
This paper introduces the Located Hidden Random Field (LHRF), a conditional model for simultaneous part-based detection and segmentation of objects of a given class. Given a traini...
ICDAR
2005
IEEE
14 years 3 months ago
2005
IEEE
Many diagrams contain compound objects composed of parts. We propose a recognition framework that learns parts in an unsupervised way, and requires training labels only for compou...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...