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» Using Maximum Entropy for Automatic Image Annotation
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CVPR
2012
IEEE
11 years 10 months ago
Learning object class detectors from weakly annotated video
Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
Alessandro Prest, Christian Leistner, Javier Civer...
CVPR
2000
IEEE
14 years 10 months ago
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
Song Chun Zhu, Xiuwen Liu
BIOINFORMATICS
2005
75views more  BIOINFORMATICS 2005»
13 years 7 months ago
DbW: automatic update of a functional family-specific multiple alignment
: Recent advances in gene sequencing have provided complete sequence information for a number of genomes and as a result the amount of data in the sequence databases is growing at ...
Veronique Prigent, Jean-Claude Thierry, Olivier Po...
WISE
2007
Springer
14 years 2 months ago
A Semantic Approach and a Web Tool for Contextual Annotation of Photos Using Camera Phones
The increasing number of personal digital photos on the Web makes their management, retrieval and visualization a difficult task. To annotate these images using Semantic Web techno...
Windson Viana, José Bringel Filho, Jé...
AIME
2007
Springer
13 years 12 months ago
An Experiment in Automatic Classification of Pathological Reports
Abstract. Medical reports are predominantly written in natural language; as such they are not computer-accessible. A common way to make medical narrative accessible to automated sy...
Janneke van der Zwaan, Erik F. Tjong Kim Sang, Maa...