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ECIR
2008
Springer
13 years 11 months ago
Semi-supervised Document Classification with a Mislabeling Error Model
Abstract. This paper investigates a new extension of the Probabilistic Latent Semantic Analysis (PLSA) model [6] for text classification where the training set is partially labeled...
Anastasia Krithara, Massih-Reza Amini, Jean-Michel...
ICIP
2010
IEEE
13 years 8 months ago
Image modeling and enhancement via structured sparse model selection
An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...
Guoshen Yu, Guillermo Sapiro, Stéphane Mall...
CORR
2006
Springer
98views Education» more  CORR 2006»
13 years 10 months ago
Bayesian Regression of Piecewise Constant Functions
We derive an exact and efficient Bayesian regression algorithm for piecewise constant functions of unknown segment number, boundary location, and levels. It works for any noise an...
Marcus Hutter
DICTA
2003
13 years 11 months ago
Model Selection Criteria in Computer Vision: Are They Different?
 This paper presents an extensive survey of  model selection techniques for  computer vision applications. A large number of existing model selection criteria...
Niloofar Gheissari, Alireza Bab-Hadiashar
IADIS
2004
13 years 11 months ago
Recognizing Article Errors Based on the Three Head Words
In this paper, we present a statistical model for detecting article errors, which Japanese learners of English often make in English writing. The model detects article errors base...
Ryo Nagata, Fumito Masui, Atsuo Kawai, Naoki Isu