9 search results - page 1 / 2 » Unsupervised HMM Adaptation Using Page Style Clustering |
ICDAR
2009
IEEE
14 years 6 days ago
2009
IEEE
In this paper we present an innovative two-stage adaptation approach for handwriting recognition that is based on clustering of similar pages in the training data. In our approach...
ICDAR
2007
IEEE
13 years 11 months ago
2007
IEEE
Logical entity recognition in heterogeneous collections of document page images remains a challenging problem since the performance of traditional supervised methods degrade drama...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
In this paper a writer-independent on-line handwriting recognition system is described comparing the influence of handwriting normalization and adaptation techniques on the recogn...
AAAI
2007
13 years 7 months ago
2007
We present Cluster Onset Detection (COD), a novel algorithm to aid in detection of epidemic outbreaks. COD employs unsupervised learning techniques in an online setting to partiti...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...