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» Domain Adaptation for Statistical Classifiers
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ICIAP
2005
ACM
14 years 8 months ago
Interactive, Mobile, Distributed Pattern Recognition
As the accuracy of conventional classifiers, based only on a static partitioning of feature space, appears to be approaching a limit, it may be useful to consider alternative appro...
George Nagy
LREC
2008
121views Education» more  LREC 2008»
13 years 10 months ago
Holy Moses! Leveraging Existing Tools and Resources for Entity Translation
Recently, there has been an emphasis on creating shared resources for natural language processing applications. This has resulted in the development of high-quality tools and data...
Jean Tavernier, Rosa Cowan, Michelle Vanni
BMCBI
2006
159views more  BMCBI 2006»
13 years 8 months ago
EVEREST: automatic identification and classification of protein domains in all protein sequences
Background: Proteins are comprised of one or several building blocks, known as domains. Such domains can be classified into families according to their evolutionary origin. Wherea...
Elon Portugaly, Amir Harel, Nathan Linial, Michal ...
ICIP
2001
IEEE
14 years 10 months ago
Block-based segmentation and adaptive coding for visually lossless compression of scanned documents
This paper presents a novel block-based segmentation and adaptive coding(BSAC) algorithm for visually lossless compression of scanned documents that contain not only photographic ...
Xin Li, Shawmin Lei
PAMI
2000
112views more  PAMI 2000»
13 years 8 months ago
A Noise-Adaptive Discriminant Function and Its Application to Blurred Machine-Printed Kanji Recognition
Accurate recognition of blurred images is a practical but hitherto mostly overlooked problem. In this paper, we quantify the level of noise in blurred images and propose a new modi...
Shinichiro Omachi, Fang Sun, Hirotomo Aso