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EMNLP
2008
15 years 8 months ago
Language and Translation Model Adaptation using Comparable Corpora
Traditionally, statistical machine translation systems have relied on parallel bi-lingual data to train a translation model. While bi-lingual parallel data are expensive to genera...
Matthew G. Snover, Bonnie J. Dorr, Richard M. Schw...
NIPS
2007
15 years 8 months ago
Learning Horizontal Connections in a Sparse Coding Model of Natural Images
It has been shown that adapting a dictionary of basis functions to the statistics of natural images so as to maximize sparsity in the coefficients results in a set of dictionary ...
Pierre Garrigues, Bruno Olshausen
NC
2006
132views Neural Networks» more  NC 2006»
15 years 7 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu

Publication
222views
17 years 6 months ago
Quantitative Description of Spatially Homogeneous Textures by Characteristic Grey Level Co-Occurrences
Gibbs random eld model with multiple pairwise pixel interactions describes each type of spatially homogeneous image textures in terms of a pixel neighbourhood and Gibbs potentials...
Georgy Gimel'farb
CVPR
2007
IEEE
16 years 9 months ago
Handwritten Carbon Form Preprocessing Based on Markov Random Field
This paper proposes a statistical approach to degraded handwritten form image preprocessing including binarization and form line removal. The degraded image is modeled by a Markov...
Huaigu Cao, Venu Govindaraju