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» Improving Data Quality: Consistency and Accuracy
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ICIP
2009
IEEE
13 years 5 months ago
Multichannel dual domain infrared target tracking for highly evolutionary target signatures
We introduce a new SIR particle filter that performs tracking in a joint feature space where pixel domain data are fused with measurements obtained from an 18-channel modulation d...
Colin M. Johnston, Nick A. Mould, Joseph P. Havlic...
ASPLOS
2011
ACM
12 years 11 months ago
ConSeq: detecting concurrency bugs through sequential errors
Concurrency bugs are caused by non-deterministic interleavings between shared memory accesses. Their effects propagate through data and control dependences until they cause softwa...
Wei Zhang, Junghee Lim, Ramya Olichandran, Joel Sc...
JCST
2011
89views more  JCST 2011»
13 years 2 months ago
Software Defect Detection with Rocus
Software defect detection aims to automatically identify defective software modules for efficient software test in order to improve the quality of a software system. Although many...
Yuan Jiang, Ming Li, Zhi-Hua Zhou
ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
13 years 5 months ago
Robust vehicle localization in urban environments using probabilistic maps
— Autonomous vehicle navigation in dynamic urban environments requires localization accuracy exceeding that available from GPS-based inertial guidance systems. We have shown prev...
Jesse Levinson, Sebastian Thrun
AVBPA
2005
Springer
395views Biometrics» more  AVBPA 2005»
13 years 9 months ago
A Score-Level Fusion Benchmark Database for Biometric Authentication
Fusing the scores of several biometric systems is a very promising approach to improve the overall system’s accuracy. Despite many works in the literature, it is surprising that ...
Norman Poh, Samy Bengio