1746 search results - page 7 / 350 » Hierarchical Unsupervised Learning |
ML
1998
ACM
13 years 8 months ago
1998
ACM
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism ? animal ? feline ? cat). What about defining a hierarchy based on the visual ...
PRIB
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
From conventional wisdom and empirical studies of annotated data, it has been shown that visual statistics such as object frequencies and segment sizes follow power law distributi...
COLING
2010
13 years 3 months ago
2010
While ITG has many desirable properties for word alignment, it still suffers from the limitation of one-to-one matching. While existing approaches relax this limitation using phra...