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» Detecting Inconsistencies in Distributed Data
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DICTA
2008
13 years 11 months ago
Exploiting Part-Based Models and Edge Boundaries for Object Detection
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
Josephine Sullivan, Oscar M. Danielsson, Stefan Ca...
IS
2011
13 years 2 months ago
Detecting proximity events in sensor networks
Sensor networks are often used to perform monitoring tasks, such as animal and vehicle tracking, or the surveillance of enemy forces in military applications. In this paper we int...
Antonios Deligiannakis, Yannis Kotidis
PAKDD
2007
ACM
137views Data Mining» more  PAKDD 2007»
14 years 4 months ago
Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data
Abstract. Contrast set mining aims at finding differences between different groups. This paper shows that a contrast set mining task can be transformed to a subgroup discovery ta...
Petra Kralj, Nada Lavrac, Dragan Gamberger, Antoni...
EUC
2005
Springer
14 years 3 months ago
Ubiquitous Computing: Challenges in Flexible Data Aggregation
Abstract. A dramatic increase of event monitoring capabilities by wireless sensors requires new, more sophisticated, event correlation over time and space. This new paradigm implie...
Eiko Yoneki, Jean Bacon
INTERACT
2003
13 years 11 months ago
MyTeam: Availability Awareness Through the Use of Sensor Data
: This paper reports on a four-week study of the usage of myTeam, a prototype that provides availability awareness for distributed work groups through the use of sensor data. Autom...
Jennifer Lai, Sachiko Yoshihama, Thomas Bridgman, ...