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» Using Data Mining to Estimate Missing Sensor Data
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ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
15 years 2 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 2 months ago
Estimating the number of segments in time series data using permutation tests
Segmentation is a popular technique for discovering structure in time series data. We address the largely open problem of estimating the number of segments that can be reliably di...
Kari Vasko, Hannu Toivonen
WACV
2002
IEEE
15 years 2 months ago
Optimal motion estimation from visual and inertial measurements
Cameras and inertial sensors are good candidates to be deployed together for autonomous vehicle motion estimation, since each can be used to resolve the ambiguities in the estimat...
Dennis Strelow, Sanjiv Singh
ICRA
2005
IEEE
141views Robotics» more  ICRA 2005»
15 years 3 months ago
Sensor Data Fusion for Body State Estimation in a Hexapod Robot with Dynamical Gaits
— We report on progress toward a continuous time full 6 DOF translational body state estimator for a hexapod robot executing a jogging gait (with 4 consecutive phases: tripod sta...
Pei-Chun Lin, Haldun Komsuoglu, Daniel E. Koditsch...
INFOCOM
2006
IEEE
15 years 3 months ago
Learn on the Fly: Data-Driven Link Estimation and Routing in Sensor Network Backbones
— In the context of IEEE 802.11b network testbeds, we examine the differences between unicast and broadcast link properties, and we show the inherent difficulties in precisely e...
Hongwei Zhang, Anish Arora, Prasun Sinha