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» Monitoring Temporal Rules Combined with Time Series
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DMSN
2007
ACM
13 years 11 months ago
Declarative temporal data models for sensor-driven query processing
Many sensor network applications monitor continuous phenomena by sampling, and fit time-varying models that capture the phenomena's behaviors. We introduce Pulse, a framework...
Yanif Ahmad, Ugur Çetintemel
KDD
2007
ACM
202views Data Mining» more  KDD 2007»
14 years 7 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
ICSE
2010
IEEE-ACM
14 years 8 days ago
An eclectic approach for change impact analysis
Change impact analysis aims at identifying software artifacts being affected by a change. In the past, this problem has been addressed by approaches relying on static, dynamic, a...
Michele Ceccarelli, Luigi Cerulo, Gerardo Canfora,...
AVSS
2005
IEEE
14 years 1 months ago
VidMAP: video monitoring of activity with Prolog
This paper describes the architecture of a visual surveillance system that combines real time computer vision algorithms with logic programming to represent and recognize activiti...
Vinay D. Shet, David Harwood, Larry S. Davis
SIGGRAPH
2010
ACM
13 years 12 months ago
Video tapestries with continuous temporal zoom
We present a novel approach for summarizing video in the form of a multiscale image that is continuous in both the spatial domain and across the scale dimension: There are no hard...
Connelly Barnes, Dan B. Goldman, Eli Shechtman, Ad...