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» Spatiotemporal Novelty Detection Using Resonance Networks
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ICMLA
2010
13 years 5 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...
CVPR
2011
IEEE
13 years 4 months ago
Multi-agent event recognition in structured scenarios
We present a framework for the automatic recognition of complex multi-agent events in settings where structure is imposed by rules that agents must follow while performing activit...
Vlad Morariu, Larry Davis
DEBS
2008
ACM
13 years 9 months ago
Event-based constraints for sensornet programming
We propose a sensornet programming model based on declarative spatio-temporal constraints on events only, not sensors. Where previous approaches conflate events and sensors becaus...
Jie Mao, John Jannotti, Mert Akdere, Ugur Ç...

Publication
314views
15 years 6 months ago
LED: Load Early Detection: A Congestion Control Algorithm based on Router Traffic Load
Efficient bandwidth allocation and low delays remain important goals, expecially in high-speed networks. Existing end-to-end congestion control schemes (such as TCP+AQM/RED) have s...
A. Durresi, P. Kandikuppa, M. Sridharan, S. Chella...
IJISTA
2006
113views more  IJISTA 2006»
13 years 7 months ago
Extraction of mid-level semantics from gesture videos using a Bayesian network
In this paper a method for extraction of mid-level semantics from sign language videos is proposed, by employing high level domain knowledge. The semantics concern labeling of the ...
Dimitrios I. Kosmopoulos, Ilias Maglogiannis