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» A Collaborative Annotation Framework
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CIVR
2006
Springer
219views Image Analysis» more  CIVR 2006»
14 years 1 months ago
Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Rui Shi, Tat-Seng Chua, Chin-Hui Lee, Sheng Gao
MMM
2012
Springer
313views Multimedia» more  MMM 2012»
12 years 4 months ago
Combining Image-Level and Segment-Level Models for Automatic Annotation
Abstract. For the task of assigning labels to an image to summarize its contents, many early attempts use segment-level information and try to determine which parts of the images c...
Daniel Küttel, Matthieu Guillaumin, Vittorio ...
BMCBI
2005
122views more  BMCBI 2005»
13 years 9 months ago
FACT - a framework for the functional interpretation of high-throughput experiments
Background: Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-po...
Felix Kokocinski, Nicolas Delhomme, Gunnar Wrobel,...
DFMA
2005
IEEE
100views Multimedia» more  DFMA 2005»
14 years 2 months ago
Mobile Computing to Facilitate Interaction in Lectures and Meetings
The Campus Mobile project explored how PDAs and innovative interfaces can improve interaction during lectures and in small meetings. These mobile computers (small PCs or PDAs) are...
Isabelle M. Demeure, Claudie Faure, Eric Lecolinet...
LREC
2008
119views Education» more  LREC 2008»
13 years 10 months ago
What's in a Colour? Studying and Contrasting Colours with COMPARA
In this paper we present contrastive colour studies done using COMPARA, the largest edited parallel corpus in the world (as far as we know). The studies were the result of semanti...
Diana Santos, Maria do Rosário Silva, Susan...