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» Visual word pairs for automatic image annotation
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ICIP
2002
IEEE
16 years 3 months ago
Semantic based categorization, browsing and retrieval in medical image databases
Content-based retrieval (CBIR) methods in medical databases have been designed to support specific tasks, such as retrieval of digital mammograms or 3D MRI images. These methods c...
Aleksandra Mojsilovic, José Gomes
CVPR
2009
IEEE
15 years 5 months ago
ImageNet: A large-scale hierarchical image database
The explosion of image data on the Internet has the potential to foster more sophisticated and robust models and algorithms to index, retrieve, organize and interact with images a...
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai...
CLEF
2005
Springer
15 years 7 months ago
The Use of MedGIFT and EasyIR for ImageCLEF 2005
This article describes the use of the medGIFT and easyIR retrieval systems for three of the four ImageCLEF 2005 retrieval tasks. We participated in the ad–hoc retrieval task that...
Henning Müller, Antoine Geissbühler, Joh...
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
15 years 7 months ago
ViVo: Visual Vocabulary Construction for Mining Biomedical Images
Given a large collection of medical images of several conditions and treatments, how can we succinctly describe the characteristics of each setting? For example, given a large col...
Arnab Bhattacharya, Vebjorn Ljosa, Jia-Yu Pan, Mar...
PRL
2006
95views more  PRL 2006»
15 years 1 months ago
Evolving visual sonar: Depth from monocular images
To recover depth from images, the human visual system uses many monocular depth cues, which vision research has only begun to explore. Because a given image can have many possible...
Martin C. Martin