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» Global Optimization of Histograms
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ICCV
2009
IEEE
16 years 5 months ago
TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation
Image auto-annotation is an important open problem in computer vision. For this task we propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images a...
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek...
SPIESR
1997
97views Database» more  SPIESR 1997»
15 years 1 months ago
Multiscale Branch-and-Bound Image Database Search
This paper presents a formal framework for designing search algorithms which can identify target images by the spatial distribution of color, edge and texture attributes. The fram...
Jau-Yuen Chen, Charles A. Bouman, Jan P. Allebach
ISCI
2007
115views more  ISCI 2007»
15 years 10 days ago
Compressed histograms with arbitrary bucket layouts for selectivity estimation
Selectivity estimation is an important step of query optimization in a database management system, and multidimensional histogram techniques have proved promising for selectivity ...
Dennis Fuchs, Zhen He, Byung Suk Lee
VLDB
2004
ACM
180views Database» more  VLDB 2004»
15 years 5 months ago
Bloom Histogram: Path Selectivity Estimation for XML Data with Updates
Cost-based XML query optimization calls for accurate estimation of the selectivity of path expressions. Some other interactive and internet applications can also benefit from suc...
Wei Wang 0011, Haifeng Jiang, Hongjun Lu, Jeffrey ...
DAGSTUHL
2004
15 years 1 months ago
Optimal algorithms for global optimization in case of unknown Lipschitz constant
We consider the global optimization problem for d-variate Lipschitz functions which, in a certain sense, do not increase too slowly in a neighborhood of the global minimizer(s). O...
Matthias U. Horn