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» Robustness of Classifiers to Changing Environments
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ICCV
2001
IEEE
14 years 9 months ago
Face Recognition with Support Vector Machines: Global versus Component-based Approach
We present a component-based method and two global methods for face recognition and evaluate them with respect to robustness against pose changes. In the component system we first...
Bernd Heisele, Purdy Ho, Tomaso Poggio
IPPS
2005
IEEE
14 years 1 months ago
A Measure of Robustness Against Multiple Kinds of Perturbations
Parallel and distributed heterogeneous computing systems may operate in an environment that undergoes unpredictable changes causing certain system performance features to degrade....
Behdis Eslamnour, Shoukat Ali
ACSD
2010
IEEE
224views Hardware» more  ACSD 2010»
13 years 5 months ago
Robustness of Sequential Circuits
Digital components play a central role in the design of complex embedded systems. These components are interconnected with other, possibly analog, devices and the physical environm...
Laurent Doyen, Thomas A. Henzinger, Axel Legay, De...
RAS
2007
85views more  RAS 2007»
13 years 7 months ago
Self-localization in non-stationary environments using omni-directional vision
This paper presents an image-based approach for localization in non-static environments using local feature descriptors, and its experimental evaluation in a large, dynamic, popul...
Henrik Andreasson, André Treptow, Tom Ducke...
MCS
2009
Springer
14 years 10 days ago
Incremental Learning of Variable Rate Concept Drift
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
Ryan Elwell, Robi Polikar