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» Evaluating WordNet Features in Text Classification Models
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ICDAR
2009
IEEE
13 years 6 months ago
Document Image Binarisation Using Markov Field Model
This paper presents a new approach for the binarization of seriously degraded manuscript. We introduce a new technique based on a Markov Random Field (MRF) model of the document. ...
Thibault Lelore, Frédéric Bouchara
TSD
2007
Springer
14 years 2 months ago
Constructing Empirical Models for Automatic Dialog Parameterization
Automatic classification of dialogues between clients and a service center needs a preliminary dialogue parameterization. Such a parameterization is usually faced with essential di...
Mikhail Alexandrov, Xavier Blanco, Natalia Ponomar...
ISMIR
2005
Springer
185views Music» more  ISMIR 2005»
14 years 2 months ago
A Benchmark Dataset for Audio Classification and Clustering
We present a freely available benchmark dataset for audio classification and clustering. This dataset consists of 10 seconds samples of 1886 songs obtained from the Garageband si...
Helge Homburg, Ingo Mierswa, Bülent Möll...
EMNLP
2009
13 years 6 months ago
Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
Yusuke Miyao, Jun-ichi Tsujii
CSB
2005
IEEE
165views Bioinformatics» more  CSB 2005»
13 years 10 months ago
Sequential Diagonal Linear Discriminant Analysis (SeqDLDA) for Microarray Classification and Gene Identification
In microarray classification we are faced with a very large number of features and very few training samples. This is a challenge for classical Linear Discriminant Analysis (LDA),...
Roger Pique-Regi, Antonio Ortega, Shahab Asgharzad...