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» Conditionally correct superoptimization
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ICPR
2002
IEEE
14 years 11 months ago
Comparative Study on Mirror Image Learning (MIL) and GLVQ
In this paper the effectiveness of a corrective learning algorithm MIL (Mirror Image Learning) [1], [2] is comparatively studied with that of GLVQ (Generalized Learning Vector Qua...
Meng Shi, Tetsushi Wakabayashi, Wataru Ohyama, Fum...
ISBI
2006
IEEE
14 years 10 months ago
Joint estimation in MRI using harmonic retrieval methods
One of the key factors affecting functional MRI image reconstruction is field inhomogeneity. It is desirable to estimate both the distortion-free MRI image and field map simultane...
Hien M. Nguyen, Robert L. Morrison Jr., Bradley P....
VLDB
2007
ACM
137views Database» more  VLDB 2007»
14 years 10 months ago
Improving Data Quality: Consistency and Accuracy
Two central criteria for data quality are consistency and accuracy. Inconsistencies and errors in a database often emerge as violations of integrity constraints. Given a dirty dat...
Gao Cong, Wenfei Fan, Floris Geerts, Xibei Jia, Sh...
SIGMOD
2004
ACM
92views Database» more  SIGMOD 2004»
14 years 10 months ago
The Price of Validity in Dynamic Networks
Massive-scale self-administered networks like Peer-to-Peer and Sensor Networks have data distributed across thousands of participant hosts. These networks are highly dynamic with ...
Mayank Bawa, Aristides Gionis, Hector Garcia-Molin...
POPL
2010
ACM
14 years 7 months ago
Sequential Verification of Serializability
Serializability is a commonly used correctness condition in concurrent programming. When a concurrent module is serializable, certain other properties of the module can be verifie...
G. Ramalingam, Hagit Attiya, Noam Rinetzky