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108
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DMIN
2009
119views Data Mining» more  DMIN 2009»
15 years 9 days ago
Abnormal Process State Detection by Cluster Center Point Monitoring in BWR Nuclear Power Plant
This paper proposes a new method to detect abnormal process state. The method is based on cluster center point monitoring in time and is demonstrated in its application to data fro...
Jaakko Talonen, Miki Sirola
SIAMSC
2008
104views more  SIAMSC 2008»
15 years 2 months ago
Reducing Floating Point Error in Dot Product Using the Superblock Family of Algorithms
This paper discusses both the theoretical and statistical errors obtained by various well-known dot products, from the canonical to pairwise algorithms, and introduces a new and mo...
Anthony M. Castaldo, R. Clint Whaley, Anthony T. C...
167
Voted
TOG
2012
184views Communications» more  TOG 2012»
13 years 5 months ago
Point sampling with general noise spectrum
Point samples with different spectral noise properties (often defined using color names such as white, blue, green, and red) are important for many science and engineering discip...
Yahan Zhou, Haibin Huang, Li-Yi Wei, Rui Wang
110
Voted
IJCV
2012
13 years 4 months ago
Impact of Landmark Parametrization on Monocular EKF-SLAM with Points and Lines
Abstract This paper explores the impact that landmark parametrization has in the performance of monocular, EKFbased, 6-DOF simultaneous localization and mapping (SLAM) in the conte...
Joan Solà, Teresa A. Vidal-Calleja, Javier ...
IDA
2003
Springer
15 years 7 months ago
Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points
This paper proposes a new clustering algorithm in the fuzzy-c-means family, which is designed to cluster time series and is particularly suited for short time series and those wit...
Carla S. Möller-Levet, Frank Klawonn, Kwang-H...