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ICCV
2009
IEEE
14 years 9 months ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
TOG
2008
96views more  TOG 2008»
14 years 11 months ago
Display adaptive tone mapping
We propose a tone-mapping operator that can minimize visible contrast distortions for a range of output devices, ranging from e-paper to HDR displays. The operator weights contras...
Rafal Mantiuk, Scott Daly, Louis Kerofsky
CIKM
2000
Springer
15 years 4 months ago
Dimensionality Reduction and Similarity Computation by Inner Product Approximations
—As databases increasingly integrate different types of information such as multimedia, spatial, time-series, and scientific data, it becomes necessary to support efficient retri...
Ömer Egecioglu, Hakan Ferhatosmanoglu
CVPR
2009
IEEE
16 years 7 months ago
Efficient Representation of Local Geometry for Large Scale Object Retrieval
State of the art methods for image and object re- trieval exploit both appearance (via visual words) and local geometry (spatial extent, relative pose). In large scale problems,...
Michal Perdoch (Czech Technical University), Ondre...
ICCV
2009
IEEE
16 years 4 months ago
Saliency Driven Total Variation Segmentation
This paper introduces an unsupervised color segmentation method. The underlying idea is to segment the input image several times, each time focussing on a different salient part...
Michael Donoser, Martin Urschler, Martin Hirzer an...