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» Learning to Identify Unexpected Instances in the Test Set
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NIPS
2007
13 years 8 months ago
Learning Bounds for Domain Adaptation
Empirical risk minimization offers well-known learning guarantees when training and test data come from the same domain. In the real world, though, we often wish to adapt a classi...
John Blitzer, Koby Crammer, Alex Kulesza, Fernando...
TNN
2008
178views more  TNN 2008»
13 years 7 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
SECON
2007
IEEE
14 years 1 months ago
On the Prevalence of Sensor Faults in Real-World Deployments
—Various sensor network measurement studies have reported instances of transient faults in sensor readings. In this work, we seek to answer a simple question: How often are such ...
Abhishek Sharma, Leana Golubchik, Ramesh Govindan
ICML
2008
IEEE
14 years 8 months ago
Fast solvers and efficient implementations for distance metric learning
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
Kilian Q. Weinberger, Lawrence K. Saul
DAC
1994
ACM
13 years 11 months ago
Dynamic Search-Space Pruning Techniques in Path Sensitization
A powerful combinational path sensitization engine is required for the efficient implementation of tools for test pattern generation, timing analysis, and delay fault testing. Path...
João P. Marques Silva, Karem A. Sakallah