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» Improving Bag-of-Features for Large Scale Image Search
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108
Voted
WWW
2009
ACM
15 years 4 months ago
A game based approach to assign geographical relevance to web images
Geographical context is very important for images. Millions of images on the Web have been already assigned latitude and longitude information. Due to the rapid proliferation of s...
Yuki Arase, Xing Xie, Manni Duan, Takahiro Hara, S...
79
Voted
CEC
2005
IEEE
15 years 3 months ago
Dynamic multi-swarm particle swarm optimizer with local search
—In this paper, the performance of dynamic multi-swarm particle swarm optimizer (DMS-PSO) on the set of benchmark functions provided for the CEC2008 Special Session on Large Scal...
Jing J. Liang, Ponnuthurai N. Suganthan
CVPR
2010
IEEE
15 years 6 months ago
Aggregating local descriptors into a compact image representation
We address the problem of image search on a very large scale, where three constraints have to be considered jointly: the accuracy of the search, its efficiency, and the memory usag...
Hervé Jégou, Matthijs Douze, Cordelia Schmid and...
CVPR
2007
IEEE
15 years 11 months ago
Hybrid learning of large jigsaws
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
Julia A. Lasserre, Anitha Kannan, John M. Winn
ICPR
2010
IEEE
14 years 7 months ago
User Adaptive Clustering for Large Image Databases
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
Mohammad Mehdi Saboorian, Mansour Jamzad, Hamid R....