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» User Adaptive Clustering for Large Image Databases
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ECCV
2010
Springer
15 years 3 months ago
Location Recognition Using Prioritized Feature Matching
We present a fast, simple location recognition and image localization method that leverages feature correspondence and geometry estimated from large Internet photo collections. Suc...
Yunpeng Li, Noah Snavely, Daniel P. Huttenlocher
ICASSP
2009
IEEE
15 years 8 months ago
Annotating images by harnessing worldwide user-tagged photos
Automatic image tagging is important yet challenging due to the semantic gap and the lack of learning examples to model a tag’s visual diversity. Meanwhile, social user tagging ...
Xirong Li, Cees G. M. Snoek, Marcel Worring
IPPS
2008
IEEE
15 years 8 months ago
Scalable server provisioning with HOP-SCOTCH
The problem of provisioning servers in a cluster infrastructure includes the issues of coordinating access and sharing of physical resources, loading servers with the appropriate ...
David Daly, M. A. Silva, José E. Moreira
134
Voted
IVC
2007
97views more  IVC 2007»
15 years 1 months ago
Stochastic exploration and active learning for image retrieval
This paper deals with content-based image retrieval. When the user is looking for large categories, statistical classification techniques are efficient as soon as the training se...
Matthieu Cord, Philippe Henri Gosselin, Sylvie Phi...
OSDI
2008
ACM
16 years 2 months ago
Hunting for Problems with Artemis
Artemis is a modular application designed for analyzing and troubleshooting the performance of large clusters running datacenter services. Artemis is composed of four modules: (1)...
Gabriela F. Cretu-Ciocarlie, Mihai Budiu, Mois&eac...