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» Effectiveness of HMM-based retrieval on large databases
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82
Voted
CVPR
2007
IEEE
15 years 11 months ago
City-Scale Location Recognition
We look at the problem of location recognition in a large image dataset using a vocabulary tree. This entails finding the location of a query image in a large dataset containing 3...
Grant Schindler, Matthew Brown, Richard Szeliski
EDBT
2011
ACM
231views Database» more  EDBT 2011»
14 years 1 months ago
Data integration with dependent sources
Data integration systems offer users a uniform interface to a set of data sources. Previous work has typically assumed that the data sources are independent of each other; however...
Anish Das Sarma, Xin Luna Dong, Alon Y. Halevy
106
Voted
ADC
2007
Springer
170views Database» more  ADC 2007»
15 years 3 months ago
Pruning SIFT for Scalable Near-duplicate Image Matching
The detection of image versions from large image collections is a formidable task as two images are rarely identical. Geometric variations such as cropping, rotation, and slight p...
Jun Jie Foo, Ranjan Sinha
CIKM
2006
Springer
15 years 1 months ago
A document-centric approach to static index pruning in text retrieval systems
We present a static index pruning method, to be used in ad-hoc document retrieval tasks, that follows a documentcentric approach to decide whether a posting for a given term shoul...
Stefan Büttcher, Charles L. A. Clarke
93
Voted
MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 2 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He