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ICMLA
2010
14 years 7 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
SDM
2009
SIAM
129views Data Mining» more  SDM 2009»
15 years 7 months ago
Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms.
This paper considers the problem of change detection using local distributed eigen monitoring algorithms for next generation of astronomy petascale data pipelines such as the Larg...
Kamalika Das, Kanishka Bhaduri, Sugandha Arora, We...
ICDCS
2007
IEEE
15 years 1 months ago
Communication-Efficient Tracking of Distributed Cumulative Triggers
In recent work, we proposed D-Trigger, a framework for tracking a global condition over a large network that allows us to detect anomalies while only collecting a very limited amo...
Ling Huang, Minos N. Garofalakis, Anthony D. Josep...
ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
14 years 8 months ago
Towards marine bloom trajectory prediction for AUV mission planning
— This paper presents an oceanographic toolchain that can be used to generate multi-vehicle robotic surveys for large-scale dynamic features in the coastal ocean. Our science app...
Jnaneshwar Das, Kanna Rajany, Sergey Frolovy, Fred...
IMC
2004
ACM
15 years 3 months ago
Characteristics of internet background radiation
Monitoring any portion of the Internet address space reveals incessant activity. This holds even when monitoring traffic sent to unused addresses, which we term “background rad...
Ruoming Pang, Vinod Yegneswaran, Paul Barford, Ver...