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ICIP
2008
IEEE
16 years 24 days ago
Incorporating known features into a total variation dictionary model for source separation
The goal of this paper is to investigate the impact of dictionary choosing for a total variation dictionary model. After theoretical analysis, we present the experiments in which ...
Tieyong Zeng
SMI
2003
IEEE
142views Image Analysis» more  SMI 2003»
15 years 11 months ago
Approximate Congruence Detection of Model Features for Reverse Engineering
Reverse engineering allows the geometric reconstruction of simple mechanical parts. However, the resulting models suffer from inaccuracies caused by errors in measurement and reco...
C. H. Gao, Frank C. Langbein, A. David Marshall, R...
NLPRS
2001
Springer
15 years 10 months ago
A Probabilistic Model for Japanese Zero Pronoun Resolution Integrating Syntactic and Semantic Features
This paper proposes a method to resolve Japanese zero pronouns by identifying their antecedents. Our method uses a probabilistic model, which is decomposed into syntactic and sema...
Kazuhiro Seki, Atsushi Fujii, Tetsuya Ishikawa
NCA
2006
IEEE
15 years 6 months ago
Neural network modelling of word production in Finnish: coding semantic and non-semantic features
: The objective of our research is to computationally model word production and its disorders by means of artificial neural networks. In the current study we develop and analyze an...
Antti Järvelin, Martti Juhola, Matti Laine
LREC
2010
159views Education» more  LREC 2010»
15 years 7 months ago
Improvements in Parsing the Index Thomisticus Treebank. Revision, Combination and a Feature Model for Medieval Latin
The creation of language resources for less-resourced languages like the historical ones benefits from the exploitation of language-independent tools and methods developed over th...
Marco Passarotti, Felice dell'Orletta