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ISCAS
2007
IEEE
117views Hardware» more  ISCAS 2007»
15 years 4 months ago
Quantifying Input and Output Spike Statistics of a Winner-Take-All Network in a Vision System
— Event-driven spike-based processing systems offer new possibilities for real-time vision. Signals are encoded asynchronously in time thus preserving the time information of the...
Matthias Oster, Rodney J. Douglas, Shih-Chii Liu
AVSS
2005
IEEE
15 years 3 months ago
Tracking motion objects in infrared videos
We propose motion detection and object tracking method that is particularly suitable for infrared videos. Detection of moving objects in infrared videos is based on changing textu...
Longin Jan Latecki, Roland Miezianko, Dragoljub Po...
ICASSP
2011
IEEE
14 years 1 months ago
Dictionary learning of convolved signals
Assuming that a set of source signals is sparsely representable in a given dictionary, we show how their sparse recovery fails whenever we can only measure a convolved observation...
Daniele Barchiesi, Mark D. Plumbley
DMKD
2003
ACM
148views Data Mining» more  DMKD 2003»
15 years 3 months ago
A symbolic representation of time series, with implications for streaming algorithms
The parallel explosions of interest in streaming data, and data mining of time series have had surprisingly little intersection. This is in spite of the fact that time series data...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Bil...
ICDM
2008
IEEE
142views Data Mining» more  ICDM 2008»
15 years 4 months ago
Clustering Events on Streams Using Complex Context Information
Monitoring applications play an increasingly important role in many domains. They detect events in monitored systems and take actions such as invoke a program or notify an adminis...
YongChul Kwon, Wing Yee Lee, Magdalena Balazinska,...