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CVPR
2007
IEEE
14 years 6 months ago
Learning Visual Similarity Measures for Comparing Never Seen Objects
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...
Eric Nowak, Frédéric Jurie
ICDE
2008
IEEE
219views Database» more  ICDE 2008»
14 years 6 months ago
Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases
Preserving individual privacy when publishing data is a problem that is receiving increasing attention. According to the k-anonymity principle, each release of data must be such th...
Osman Abul, Francesco Bonchi, Mirco Nanni
CACM
2010
105views more  CACM 2010»
13 years 4 months ago
Objects never?: well, hardly ever!
Mordechai Ben-Ari
ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
14 years 9 months ago
You'll never walk alone: modeling social behavior for multi-target tracking
Object tracking typically relies on a dynamic model to predict the object’s location from its past trajectory. In crowded scenarios a strong dynamic model is particularly impo...
S. Pellegrini, A. Ess, K. Schindler, L. van Gool
JAMIA
2011
140views more  JAMIA 2011»
12 years 7 months ago
Never too old for anonymity: a statistical standard for demographic data sharing via the HIPAA Privacy Rule
Objective Healthcare organizations must de-identify patient records before sharing data. Many organizations rely on the Safe Harbor Standard of the HIPAAPrivacy Rule, which enumer...
Bradley Malin, Kathleen Benitez, Daniel R. Masys