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» Robust Learning - Rich and Poor
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CVPR
2010
IEEE
15 years 10 months ago
PROST: Parallel Robust Online Simple Tracking
Tracking-by-detection is increasingly popular in order to tackle the visual tracking problem. Existing adaptive methods suffer from the drifting problem, since they rely on selfup...
Jakob Santner, Christian Leistner, Amir Saffari, T...
93
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ESANN
2003
15 years 3 months ago
Robust Topology Representing Networks
Martinetz and Schulten proposed the use of a Competitive Hebbian Learning (CHL) rule to build Topology Representing Networks. From a set of units and a data distribution, a link i...
Michaël Aupetit
INFOCOM
1999
IEEE
15 years 6 months ago
Measuring Bandwidth
Accurate network bandwidth measurement is important to a variety of network applications. Unfortunately, accurate bandwidth measurement is difficult. We describe some current bandw...
Kevin Lai, Mary Baker
COLT
2007
Springer
15 years 5 months ago
Robust Reductions from Ranking to Classification
Abstract. We reduce ranking, as measured by the Area Under the Receiver Operating Characteristic Curve (AUC), to binary classification. The core theorem shows that a binary classif...
Maria-Florina Balcan, Nikhil Bansal, Alina Beygelz...
ICML
1998
IEEE
15 years 5 months ago
The Problem with Noise and Small Disjuncts
Many systems that learn from examples express the learned concept as a disjunction. Those disjuncts that cover only a few examples are referred to as small disjuncts. The problem ...
Gary M. Weiss, Haym Hirsh