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UAI
2008
13 years 9 months ago
Small Sample Inference for Generalization Error in Classification Using the CUD Bound
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Eric Laber, Susan Murphy
ICASSP
2011
IEEE
12 years 11 months ago
Data-path and memory error compensation technique for low power JPEG implementation
This paper presents a novel technique to mitigate effects of datapath and memory errors in JPEG implementations. These errors are mainly caused by voltage scaling and process vari...
Yunus Emre, Chaitali Chakrabarti
EUROPAR
2007
Springer
14 years 1 months ago
Characterizing Result Errors in Internet Desktop Grids
Abstract. Desktop grids use the free resources in Intranet and Internet environments for large-scale computation and storage. While desktop grids offer a high return on investment...
Derrick Kondo, Filipe Araujo, Paul Malecot, Patr&i...
PAM
2004
Springer
14 years 1 months ago
Structured Errors in Optical Gigabit Ethernet Packets
This paper presents a study of the errors observed when an optical Gigabit Ethernet link is subject to attenuation. We use a set of purpose-built tools which allows us to examine t...
Laura James, Andrew Moore, Madeleine Glick
ANLP
2000
92views more  ANLP 2000»
13 years 9 months ago
Detecting Errors within a Corpus using Anomaly Detection
We present a method for automatically detecting errors in a manually marked corpus using anomaly detection. Anomaly detection is a method for determining which elements of a large...
Eleazar Eskin