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KDD
2009
ACM
207views Data Mining» more  KDD 2009»
16 years 7 months ago
DynaMMo: mining and summarization of coevolving sequences with missing values
Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn ...
Lei Li, James McCann, Nancy S. Pollard, Christos F...
EDBT
2008
ACM
111views Database» more  EDBT 2008»
16 years 6 months ago
On-line discovery of hot motion paths
We consider an environment of numerous moving objects, equipped with location-sensing devices and capable of communicating with a central coordinator. In this setting, we investig...
Dimitris Sacharidis, Kostas Patroumpas, Manolis Te...
PERCOM
2007
ACM
16 years 6 months ago
Supporting Mobile Service Usage through Physical Mobile Interaction
Although mobile services can be used ubiquitously, their employment and the interaction with them are still restricted by the constraints of mobile devices. In order to facilitate...
Gregor Broll, Sven Siorpaes, Enrico Rukzio, Massim...
IUI
2009
ACM
16 years 3 months ago
Have a say over what you see: evaluating interactive compression techniques
We all encounter many documents on a daily basis that we do not have time to process in their entirety. Nevertheless, we lack good tools to rapidly skim and identify key informati...
Simon Tucker, Steve Whittaker
CVPR
2010
IEEE
16 years 2 months ago
Tracking with Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes
Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the motion and appearance variability produced by the large number of people within the sc...
Louis Kratz, Ko Nishino