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» The Robustness of Level Sets
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IMC
2009
ACM
16 years 1 months ago
Network level footprints of facebook applications
With over half a billion users, Online Social Networks (OSNs) are the major new applications on the Internet. Little information is available on the network impact of OSNs, althou...
Atif Nazir, Saqib Raza, Dhruv Gupta, Chen-Nee Chua...
TRECVID
2008
15 years 8 months ago
Learning TRECVID'08 High-Level Features from YouTube
Run No. Run ID Run Description infMAP (%) training on TV08 data 1 IUPR-TV-M SIFT visual words with maximum entropy 6.1 2 IUPR-TV-MF SIFT with maximum entropy, fused with color+tex...
Adrian Ulges, Christian Schulze, Markus Koch, Thom...
JMM2
2007
127views more  JMM2 2007»
15 years 6 months ago
Robust Face Recognition through Local Graph Matching
— A novel face recognition method is proposed, in which face images are represented by a set of local labeled graphs, each containing information about the appearance and geometr...
Ehsan Fazl Ersi, John S. Zelek, John K. Tsotsos
BMVC
2010
15 years 4 months ago
Robust Texture Recognition Using Credal Classifiers
Texture classification is used for many vision systems; in this paper we focus on improving the reliability of the classification through the so-called imprecise (or credal) class...
Giorgio Corani, Alessandro Giusti, Davide Migliore...
ECCV
2006
Springer
16 years 8 months ago
Learning Discriminative Canonical Correlations for Object Recognition with Image Sets
Abstract. We address the problem of comparing sets of images for object recognition, where the sets may represent arbitrary variations in an object's appearance due to changin...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla