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» A Framework for Implicitly Tracking Data
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ICIP
2008
IEEE
14 years 9 months ago
Feature-based object modelling for visual surveillance
This paper introduces a new feature-based technique for implicitly modelling objects in visual surveillance. Previous work has generally employed background subtraction and other ...
Gary Baugh, Anil C. Kokaram
ESORICS
2009
Springer
14 years 8 months ago
Data Structures with Unpredictable Timing
Abstract. A range of attacks on network components, such as algorithmic denial-of-service attacks and cryptanalysis via timing attacks, are enabled by data structures for which an ...
Darrell Bethea, Michael K. Reiter
KDD
2004
ACM
168views Data Mining» more  KDD 2004»
14 years 8 months ago
Mining, indexing, and querying historical spatiotemporal data
In many applications that track and analyze spatiotemporal data, movements obey periodic patterns; the objects follow the same routes (approximately) over regular time intervals. ...
Nikos Mamoulis, Huiping Cao, George Kollios, Mario...
DKE
2006
110views more  DKE 2006»
13 years 7 months ago
Efficient mining of group patterns from user movement data
In this paper, we present a new approach to derive groupings of mobile users based on their movement data. We assume that the user movement data are collected by logging location ...
Yida Wang, Ee-Peng Lim, San-Yih Hwang
ACMSE
2010
ACM
13 years 5 months ago
Dissemination and presentation of high resolution air pollution data from mobile sensor nodes
This paper presents the framework of a mobile air quality monitoring network, with an in-depth discussion of several new innovative techniques for web-based visualization. These t...
Will Hedgecock, Péter Völgyesi, &Aacut...