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» Using Data Mining to Estimate Missing Sensor Data
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IJRR
2011
210views more  IJRR 2011»
15 years 1 months ago
Visual-Inertial Sensor Fusion: Localization, Mapping and Sensor-to-Sensor Self-calibration
Visual and inertial sensors, in combination, are able to provide accurate motion estimates and are well-suited for use in many robot navigation tasks. However, correct data fusion...
Jonathan Kelly, Gaurav S. Sukhatme
WWW
2009
ACM
15 years 10 months ago
Extracting data records from the web using tag path clustering
Fully automatic methods that extract lists of objects from the Web have been studied extensively. Record extraction, the first step of this object extraction process, identifies...
Gengxin Miao, Jun'ichi Tatemura, Wang-Pin Hsiung, ...
IGARSS
2009
15 years 3 months ago
Optimum Sampling Scheme for Characterization of Mine Tailings
The paper describes a novice method for sampling geochemicals to characterize mine tailings. We model the spatial relationships between a multi-element signature and, as covariate...
Pravesh Debba, Emmanuel John M. Carranza, Alfred S...
KDD
2010
ACM
435views Data Mining» more  KDD 2010»
15 years 10 months ago
Topic models with power-law using Pitman-Yor process
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...
Issei Sato, Hiroshi Nakagawa
PKDD
2009
Springer
175views Data Mining» more  PKDD 2009»
16 years 22 days ago
Latent Dirichlet Bayesian Co-Clustering
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey