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» Effectiveness of HMM-based retrieval on large databases
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CVPR
2007
IEEE
16 years 8 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 10 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
ADC
2007
Springer
170views Database» more  ADC 2007»
16 years 21 days 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 10 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
MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 12 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