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WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
14 years 2 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
AAAI
2012
13 years 8 months ago
Learning Behavior Models for Hybrid Timed Systems
A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with the algo...
Oliver Niggemann, Benno Stein, Asmir Vodencarevic,...
CVPR
2006
IEEE
16 years 8 months ago
Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment
Automatic polyp detection is an increasingly important task in medical imaging with virtual colonoscopy [15] being widely used. In this paper, we present a 3D object detection alg...
Zhuowen Tu, Xiang Sean Zhou, Luca Bogoni, Adrian B...
STOC
2003
ACM
122views Algorithms» more  STOC 2003»
16 years 6 months ago
Learning juntas
We consider a fundamental problem in computational learning theory: learning an arbitrary Boolean function which depends on an unknown set of k out of n Boolean variables. We give...
Elchanan Mossel, Ryan O'Donnell, Rocco A. Servedio
DATE
2009
IEEE
129views Hardware» more  DATE 2009»
16 years 1 months ago
Energy minimization for real-time systems with non-convex and discrete operation modes
—We present an optimal methodology for dynamic voltage scheduling problem in the presence of realistic assumption such as leakage-power and intra-task overheads. Our contribution...
Foad Dabiri, Alireza Vahdatpour, Miodrag Potkonjak...