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» Detecting Change in Data Streams
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ICASSP
2009
IEEE
13 years 6 months ago
Target detection using incremental learning on single-trial evoked response
The human neural responses associated with cognitive events, referred as event related potentials (ERPs), can provide reliable inference for target image detection. Incremental le...
Yonghong Huang, Deniz Erdogmus, Misha Pavel, Kenne...
ISPA
2007
Springer
14 years 3 months ago
ECG Anomaly Detection via Time Series Analysis
—Recently, wireless sensor networks have been proposed for assisted living and residential monitoring. In such networks, physiological sensors are used to monitor vital signs e.g...
Mooi Choo Chuah, Fen Fu
ER
2006
Springer
109views Database» more  ER 2006»
14 years 24 days ago
Oxone: A Scalable Solution for Detecting Superior Quality Deltas on Ordered Large XML Documents
Recently, a number of relational-based approaches for detecting the changes to XML data have been proposed to address the scalability problem of main memory-based approaches (e.g.,...
Erwin Leonardi, Sourav S. Bhowmick
DEXAW
2010
IEEE
215views Database» more  DEXAW 2010»
13 years 10 months ago
An Evaluation Approach for Dynamics-Aware Applications Using Linked Data
One possible threat to linked data quality is the lack of knowledge about the dynamics in dependent remote datasets. Linked data consuming applications often need to be aware of ch...
Niko Popitsch, Bernhard Haslhofer, Elaheh Momeni R...
PPPJ
2009
ACM
14 years 4 months ago
Phase detection using trace compilation
Dynamic compilers can optimize application code specifically for observed code behavior. Such behavior does not have to be stable across the entire program execution to be bene...
Christian Wimmer, Marcelo Silva Cintra, Michael Be...