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» Improving Bag-of-Features for Large Scale Image Search
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KDD
2007
ACM
211views Data Mining» more  KDD 2007»
15 years 10 months ago
Enhanced max margin learning on multimodal data mining in a multimedia database
The problem of multimodal data mining in a multimedia database can be addressed as a structured prediction problem where we learn the mapping from an input to the structured and i...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...
ISMDA
2005
Springer
15 years 3 months ago
Simultaneous Scheduling of Replication and Computation for Bioinformatic Applications on the Grid
Abstract. One of the first motivations of using grids comes from applications managing large data sets like for example in High Energy Physic or Life Sciences. To improve the glob...
Frederic Desprez, Antoine Vernois, Christophe Blan...
87
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ICRA
2007
IEEE
146views Robotics» more  ICRA 2007»
15 years 4 months ago
Inertial Navigation Aided by Monocular Camera Observations of Unknown Features
Abstract— This paper presents an algorithm which can effectively constrain inertial navigation drift using monocular camera data. It is capable of operating in unknown and large ...
Michael George, Salah Sukkarieh
CIKM
2010
Springer
14 years 8 months ago
Novel local features with hybrid sampling technique for image retrieval
In image retrieval, most existing approaches that incorporate local features produce high dimensional vectors, which lead to a high computational and data storage cost. Moreover, ...
Leszek Kaliciak, Dawei Song, Nirmalie Wiratunga, J...
CVPR
2008
IEEE
15 years 11 months ago
Semi-supervised distance metric learning for Collaborative Image Retrieval
Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, rele...
Steven C. H. Hoi, Wei Liu, Shih-Fu Chang