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» Learning from Multiple Annotators with Gaussian Processes
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BMCBI
2006
137views more  BMCBI 2006»
14 years 12 months ago
GOPET: A tool for automated predictions of Gene Ontology terms
Background: Vast progress in sequencing projects has called for annotation on a large scale. A Number of methods have been developed to address this challenging task. These method...
Arunachalam Vinayagam, Coral del Val, Falk Schuber...
ICML
2008
IEEE
16 years 19 days ago
Modeling interleaved hidden processes
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
Niels Landwehr
ISESE
2005
IEEE
15 years 5 months ago
A comparative study on the re-documentation of existing software: code annotations vs. drawing editors
During software evolution, programmers spend a lot of time and effort in the comprehension of the internal code structure. Such an activity is often required because the available...
Marco Torchiano, Filippo Ricca, Paolo Tonella
SPIESR
2004
171views Database» more  SPIESR 2004»
15 years 1 months ago
Interactive segmentation with hidden object-based annotations: toward smart media
In this paper a novel "Smart Media" concept for semantic-based multimedia security and management is proposed. This concept is based on interactive object segmentation (...
Yuriy Rytsar, Sviatoslav Voloshynovskiy, Fré...
CVPR
2011
IEEE
14 years 7 months ago
Supervised Hierarchical Pitman-Yor Process for Natural Scene Segmentation
From conventional wisdom and empirical studies of annotated data, it has been shown that visual statistics such as object frequencies and segment sizes follow power law distributi...
Alex Shyr, Trevor Darrell, Michael Jordan, Raquel ...