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» Content-Based Image Retrieval Using Multiple Representations
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IJCAI
2001
14 years 11 months ago
Learning Iterative Image Reconstruction
Successful image reconstruction requires the recognition of a scene and the generation of a clean image of that scene. We propose to use recurrent neural networks for both analysi...
Sven Behnke
VISUALIZATION
1999
IEEE
15 years 2 months ago
Visualizing Multivalued Data from 2D Incompressible Flows Using Concepts from Painting
We present a new visualization method for 2d flows which allows us to combine multiple data values in an image for simultaneous viewing. We utilize concepts from oil painting, art...
Robert M. Kirby, H. Marmanis, David H. Laidlaw
ACSC
2007
IEEE
15 years 4 months ago
Exploring Human Judgement of Digital Imagery
Statistical learning methods are commonly applied in content-based video and image retrieval. Such methods require a large number of examples which are usually obtained through a ...
Timo Volkmer, James A. Thom, Seyed M. M. Tahaghogh...
PAMI
2008
190views more  PAMI 2008»
14 years 9 months ago
Scene Classification Using a Hybrid Generative/Discriminative Approach
We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail we are given a set ...
Anna Bosch, Andrew Zisserman, Xavier Muñoz
IJCV
2007
211views more  IJCV 2007»
14 years 9 months ago
The CLEF 2005 Automatic Medical Image Annotation Task
In this paper, the automatic annotation task of the 2005 CLEF cross-language image retrieval campaign (ImageCLEF) is described. This paper focuses on the database used, the task s...
Thomas Deselaers, Henning Müller, Paul Clough...