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» Using Data Mining to Estimate Missing Sensor Data
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GI
2007
Springer
16 years 10 days ago
Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection
: Detection is an inherent part of every advanced automatic tracking system. In this work we focus on automatic detection of humans by enhanced background subtraction. Background s...
Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell
EDBT
2006
ACM
129views Database» more  EDBT 2006»
16 years 6 months ago
Efficient Quantile Retrieval on Multi-dimensional Data
Given a set of N multi-dimensional points, we study the computation of -quantiles according to a ranking function F, which is provided by the user at runtime. Specifically, F compu...
Man Lung Yiu, Nikos Mamoulis, Yufei Tao
INDOCRYPT
2004
Springer
15 years 11 months ago
Information Theory and the Security of Binary Data Perturbation
Random data perturbation (RDP) has been in use for several years in statistical databases and public surveys as a means of providing privacy to individuals while collecting informa...
Poorvi L. Vora
PVLDB
2008
107views more  PVLDB 2008»
15 years 5 months ago
Finding relevant patterns in bursty sequences
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...
Alexander Lachmann, Mirek Riedewald
CORR
2007
Springer
193views Education» more  CORR 2007»
15 years 6 months ago
Multi-Sensor Fusion Method using Dynamic Bayesian Network for Precise Vehicle Localization and Road Matching
This paper presents a multi-sensor fusion strategy for a novel road-matching method designed to support real-time navigational features within advanced driving-assistance systems....
Cherif Smaili, Maan E. El Najjar, François ...