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» Improving Bag-of-Features for Large Scale Image Search
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WACV
2012
IEEE
13 years 5 months ago
CompactKdt: Compact signatures for accurate large scale object recognition
We present a novel algorithm, Compact Kd-Trees (CompactKdt), that achieves state-of-the-art performance in searching large scale object image collections. The algorithm uses an or...
Mohamed Aly, Mario E. Munich, Pietro Perona
BMVC
1998
14 years 11 months ago
Choosing an Optimal Neural Network Size to aid a Search Through a Large Image Database
In this paper a fast method of selecting a neural network architecture for pattern recognition tasks is presented. We demonstrate that our proposed method of selecting both input ...
Kieron Messer, Josef Kittler
61
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CBMS
2005
IEEE
15 years 3 months ago
Challenges of Ultra Large Scale Integration of Biomedical Computing Systems
The NCRI Informatics Initiative is overseeing the implementation of an informatics framework for the UK cancer research community. The framework advocates an integrated multidisci...
R. H. J. Begent, J. Michael Brady, Anthony Finkels...
SRDS
2010
IEEE
14 years 7 months ago
A Cooperative Sampling Approach to Discovering Optimal Configurations in Large Scale Computing Systems
With the growing scale of current computing systems, traditional configuration tuning methods become less effective because they usually assume a small number of parameters in the...
Haifeng Chen, Guofei Jiang, Hui Zhang 0002, Kenji ...
CVPR
2009
IEEE
16 years 4 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...