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BMCBI
2010
208views more  BMCBI 2010»
13 years 10 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
PPOPP
2003
ACM
14 years 3 months ago
Using thread-level speculation to simplify manual parallelization
In this paper, we provide examples of how thread-level speculation (TLS) simplifies manual parallelization and enhances its performance. A number of techniques for manual parallel...
Manohar K. Prabhu, Kunle Olukotun

Book
34534views
15 years 8 months ago
OpenCV - Open Source Computer Vision Reference Manual
OpenCV is a C/C++ computer vision library originally developed by Intel. It is free for commercial and research use under a BSD license. The library is cross-platform. It is highl...
Intel
ACL
1996
13 years 11 months ago
Minimizing Manual Annotation Cost in Supervised Training from Corpora
Corpus-based methods for natural language processing often use supervised training, requiring expensive manual annotation of training corpora. This paper investigates methods for ...
Sean P. Engelson, Ido Dagan
LREC
2008
127views Education» more  LREC 2008»
13 years 11 months ago
MASC: the Manually Annotated Sub-Corpus of American English
To answer the critical need for sharable, reusable annotated resources with rich linguistic annotations, we are developing a Manually Annotated Sub-Corpus (MASC) including texts f...
Nancy Ide, Collin F. Baker, Christiane Fellbaum, C...