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» Learning with Annotation Noise
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BMCBI
2010
208views more  BMCBI 2010»
15 years 2 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, ...
SIGIR
2008
ACM
15 years 2 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
161
Voted
SIGIR
2011
ACM
14 years 5 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
113
Voted
COLT
1995
Springer
15 years 6 months ago
From Noise-Free to Noise-Tolerant and from On-line to Batch Learning
Norbert Klasner, Hans-Ulrich Simon
ACL
2009
15 years 2 days ago
Annotating and Recognising Named Entities in Clinical Notes
This paper presents ongoing research in clinical information extraction. This work introduces a new genre of text which are not well-written, noise prone, ungrammatical and with m...
Yefeng Wang