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» Extended Viterbi algorithm for optimized word HMMS
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PAKDD
2009
ACM
126views Data Mining» more  PAKDD 2009»
14 years 3 days ago
Tree-Based Method for Classifying Websites Using Extended Hidden Markov Models
One important problem proposed recently in the field of web mining is website classification problem. The complexity together with the necessity to have accurate and fast algorit...
Majid Yazdani, Milad Eftekhar, Hassan Abolhassani
ICDAR
2003
IEEE
13 years 10 months ago
Optimizing the Number of States, Training Iterations and Gaussians in an HMM-based Handwritten Word Recognizer
In off-line handwriting recognition, classifiers based on hidden Markov models (HMMs) have become very popular. However, while there exist well-established training algorithms, s...
Simon Günter, Horst Bunke
DAGM
2008
Springer
13 years 7 months ago
Natural Language Understanding by Combining Statistical Methods and Extended Context-Free Grammars
This paper introduces an novel framework for speech understanding using extended context-free grammars (ECFGs) by combining statistical methods and rule based knowledge. By only us...
Stefan Schwärzler, Joachim Schenk, Frank Wall...
PVLDB
2010
112views more  PVLDB 2010»
13 years 3 months ago
Querying Probabilistic Information Extraction
Recently, there has been increasing interest in extending relational query processing to include data obtained from unstructured sources. A common approach is to use stand-alone I...
Daisy Zhe Wang, Michael J. Franklin, Minos N. Garo...
ICDAR
2007
IEEE
13 years 11 months ago
Handwritten Word Recognition Using Conditional Random Fields
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...
Shravya Shetty, Harish Srinivasan, Sargur N. Sriha...