221 search results - page 4 / 45 » Domain Adaptation for Statistical Classifiers |
CVPR
2000
IEEE
14 years 10 months ago
2000
IEEE
This paper investigates the use of colour and texture cues for segmentation of images within two specified domains. The first is the Sowerby dataset, which contains one hundred co...
ICDM
2009
IEEE
13 years 6 months ago
2009
IEEE
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
EMNLP
2009
13 years 6 months ago
2009
Bootstrapping is the process of improving the performance of a trained classifier by iteratively adding data that is labeled by the classifier itself to the training set, and retr...
IEICET
2008
13 years 8 months ago
2008
We propose a domain specific model for statistical machine translation. It is wellknown that domain specific language models perform well in automatic speech recognition. We show ...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We propose an alternative to probability density classifiers based on normal distributions LDA and QDA. Instead of estimating covariance matrices using the standard maximum likeli...