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» Adaptation to Drifting Concepts
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ECCV
2008
Springer
14 years 11 months ago
Semi-supervised On-Line Boosting for Robust Tracking
Abstract. Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple classifiers since only the current view of the ...
Helmut Grabner, Christian Leistner, Horst Bischof
NIPS
2008
13 years 11 months ago
Optimal Response Initiation: Why Recent Experience Matters
In most cognitive and motor tasks, speed-accuracy tradeoffs are observed: Individuals can respond slowly and accurately, or quickly yet be prone to errors. Control mechanisms gove...
Matt Jones, Michael C. Mozer, Sachiko Kinoshita
ICCAD
2009
IEEE
152views Hardware» more  ICCAD 2009»
13 years 7 months ago
Adaptive sampling for efficient failure probability analysis of SRAM cells
In this paper, an adaptive sampling method is proposed for the statistical SRAM cell analysis. The method is composed of two components. One part is the adaptive sampler that manip...
Javid Jaffari, Mohab Anis
ECCV
2010
Springer
14 years 1 months ago
Closed-loop Adaptation for Robust Tracking
Model updating is a critical problem in tracking. Inaccurate extraction of the foreground and background information in model adaptation would cause the model to drift and degrade ...
CICLING
2010
Springer
14 years 4 months ago
Towards Automatic Detection and Tracking of Topic Change
We present an approach for automatic detection of topic change. Our approach is based on the analysis of statistical features of topics in time-sliced corpora and their dynamics ov...
Florian Holz, Sven Teresniak