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ICDAR
2009
IEEE
14 years 7 months ago
HMM Based Handwritten Word Recognition System by Using Singularities
This paper presents a new approach for Handwritten Word Recognition based on Hidden Markov Model theory and the sliding window technique. The new approach uses specific singularit...
Sebastiano Impedovo, Anna Ferrante, Raffaele Modug...
ICPR
2008
IEEE
15 years 4 months ago
Discriminative HMM training with GA for handwritten word recognition
This paper presents a recognition system for isolated handwritten Bangla words, with a fixed lexicon, using a left-right Hidden Markov Model (HMM). A stochastic search method, nam...
Tapan Kumar Bhowmik, Swapan K. Parui, Utpal Roy
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 2 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
ACL
2007
14 years 11 months ago
Bootstrapping Word Alignment via Word Packing
We introduce a simple method to pack words for statistical word alignment. Our goal is to simplify the task of automatic word alignment by packing several consecutive words togeth...
Yanjun Ma, Nicolas Stroppa, Andy Way
86
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ECML
2005
Springer
15 years 3 months ago
U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...
JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin ...