266 search results - page 23 / 54 » Learning to Identify Unexpected Instances in the Test Set |
108
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NIPS
2007
15 years 1 months ago
2007
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...
100
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TNN
2008
14 years 11 months ago
2008
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...
87
Voted
SECON
2007
IEEE
15 years 6 months ago
2007
IEEE
—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 ...
101
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ICML
2008
IEEE
16 years 17 days ago
2008
IEEE
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...
92
Voted
DAC
1994
ACM
15 years 3 months ago
1994
ACM
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...