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SUTC
2010
IEEE
13 years 9 months ago
Adaptive Activity Spotting Based on Event Rates
—To date many activity spotting approaches are static: once the system is trained and deployed it does not change anymore. There are substantial shortcomings of this approach, sp...
Oliver Amft
ECOI
2010
117views more  ECOI 2010»
13 years 5 months ago
Ensemble extraction for classification and detection of bird species
Advances in technology have enabled new approaches for sensing the environment and collecting data about the world. Once collected, sensor readings can be assembled into data stre...
Eric P. Kasten, Philip K. McKinley, Stuart H. Gage
NIPS
2003
13 years 7 months ago
A Classification-based Cocktail-party Processor
At a cocktail party, a listener can selectively attend to a single voice and filter out other acoustical interferences. How to simulate this perceptual ability remains a great cha...
Nicoleta Roman, DeLiang L. Wang, Guy J. Brown
GIS
2010
ACM
13 years 4 months ago
Efficiently locating photographs in many panoramas
We present a method for efficient and reliable geo-positioning of images. It relies on image-based matching of the query images onto a trellis of existing images that provides acc...
Michael Kroepfl, Yonatan Wexler, Eyal Ofek
JUCS
2006
185views more  JUCS 2006»
13 years 5 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...