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ICDAR
2009
IEEE
15 years 10 months ago
Unsupervised HMM Adaptation Using Page Style Clustering
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...
Huaigu Cao, Rohit Prasad, Shirin Saleem, Premkumar...
PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
15 years 10 months ago
Sequential Hierarchical Pattern Clustering
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...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...
RAID
2007
Springer
15 years 10 months ago
The NIDS Cluster: Scalable, Stateful Network Intrusion Detection on Commodity Hardware
Abstract. In this work we present a NIDS cluster as a scalable solution for realizing high-performance, stateful network intrusion detection on commodity hardware. The design addre...
Matthias Vallentin, Robin Sommer, Jason Lee, Craig...
HICSS
2006
IEEE
180views Biometrics» more  HICSS 2006»
15 years 10 months ago
Knowledge Dynamics in Regional Economies: A Research Framework
This paper addresses challenges associated with the dynamics of knowledge in clusters and regional networks. It develops a conceptual framework, a methodology and a research agend...
Ramon O'Callaghan, Rafel Andreu
ICMCS
2005
IEEE
100views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Fuzzy image segmentation using shape information
Results of any clustering algorithm are highly sensitive to features that limit their generalization and hence provide a strong motivation to integrate shape information into the ...
Mohammed Ameer Ali, Gour C. Karmakar, Laurence S. ...