7 search results - page 1 / 2 » Using Hidden Markov Random Fields to Combine Distributional ... |
COLING
2008
13 years 6 months ago
2008
Word clustering is a conventional and important NLP task, and the literature has suggested two kinds of approaches to this problem. One is based on the distributional similarity a...
ICDAR
2007
IEEE
13 years 11 months ago
2007
IEEE
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
CVPR
2008
IEEE
13 years 6 months ago
2008
IEEE
In photometric stereo a robust method is required to deal with outliers, such as shadows and non-Lambertian reflections. In this paper we rely on a probabilistic imaging model tha...
IPSN
2003
Springer
13 years 10 months ago
2003
Springer
The study of collaborative, distributed, real-time sensor networks is an emerging research area. Such networks are expected to play an essential role in a number of applications su...