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» Very Large Scale Information Retrieval
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AINA
2007
IEEE
14 years 3 months ago
DHTs over Peer Clusters for Distributed Information Retrieval
Distributed Hash Tables (DHTs) are very efficient for querying based on key lookups, if only a small number of keys has to be registered by each individual peer. However, building...
Odysseas Papapetrou, Wolf Siberski, Wolf-Tilo Balk...
MM
2009
ACM
221views Multimedia» more  MM 2009»
14 years 3 months ago
Using large-scale web data to facilitate textual query based retrieval of consumer photos
The rapid popularization of digital cameras and mobile phone cameras has lead to an explosive growth of consumer photo collections. In this paper, we present a (quasi) real-time t...
Yiming Liu, Dong Xu, Ivor W. Tsang, Jiebo Luo
CVPR
2007
IEEE
14 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
LREC
2010
237views Education» more  LREC 2010»
13 years 10 months ago
Entity Mention Detection using a Combination of Redundancy-Driven Classifiers
We present an experimental framework for Entity Mention Detection in which two different classifiers are combined to exploit Data Redundancy attained through the annotation of a l...
Silvana Marianela Bernaola Biggio, Manuela Speranz...
BMVC
2001
13 years 11 months ago
Tracking multiple sports players through occlusion, congestion and scale
Tracking sports players over a large playing area is a challenging problem. The players move quickly, and have large variations in their silhouettes. This paper presents a framewo...
Chris J. Needham, Roger D. Boyle