Aiding face recognition with social context association rule based re-ranking
Citations
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Cites background from "Aiding face recognition with social..."
...There have also been works demonstrating utility of context in improving face identifica- tion often in restricted settings (Bharadwaj, Vatsa, and Singh 2014; Lin et al. 2010; O’Hare and Smeaton 2009)....
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47 citations
Cites background or methods from "Aiding face recognition with social..."
...[46] proposed a social context based re770...
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...rank lists from multiple matchers have been fused using techniques like Borda count, logistic regression, and highest rank method [64, 65, 66, 67, 46]....
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...occurrence of various parts or attributes of an object or face” [46]....
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...[46] Social context based re-ranking algorithm using association rules 2014 Hochreiter et al....
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34 citations
Cites background from "Aiding face recognition with social..."
...is an emerging direction in biometric research [35], [44]....
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...[35] demonstrates a significant recognition performance improvement in challenging environment by fusing social contextual information with face biometric....
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References
120 citations
"Aiding face recognition with social..." refers methods in this paper
...A visualization (Fruchterman Reingold layout) of 100 association rules [13] with the highest lift obtained from the Galbum dataset [10]....
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119 citations
88 citations
"Aiding face recognition with social..." refers background in this paper
...Several research directions have been undertaken to improve automatic photo organizer by attaching meaningful labels pertaining to identities, relationships, and other demographics including the use of meta-information from capture devices (cellID, GPS, time) [8, 21]....
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...[21] combined several context cues derived from text, event detection, image color descriptors and body part analysis to improve person identification in photo collections....
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87 citations
81 citations
"Aiding face recognition with social..." refers methods in this paper
...[19] use the Apriori algorithm [1] to post-filter semantic concepts that are detected in videos using association rules between known semantic concepts....
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