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» Using Data Mining to Estimate Missing Sensor Data
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INFOCOM
2010
IEEE
15 years 4 months ago
Tracking Quantiles of Network Data Streams with Dynamic Operations
— Quantiles are very useful in characterizing the data distribution of an evolving dataset in the process of data mining or network monitoring. The method of Stochastic Approxima...
Jin Cao, Li (Erran) Li, Aiyou Chen, Tian Bu
PAMI
2008
231views more  PAMI 2008»
15 years 6 months ago
Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors
This paper describes methods for recovering time-varying shape and motion of nonrigid 3D objects from uncalibrated 2D point tracks. For example, given a video recording of a talkin...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...
ADHOCNOW
2008
Springer
16 years 15 days ago
DIN: An Ad-Hoc Algorithm to Estimate Distances in Wireless Sensor Networks
Abstract. A current challenge in wireless sensor networks is the positioning of sensor nodes for indoor environments without dedicated hardware. Especially in this domain, many app...
Freddy López Villafuerte, Jochen H. Schille...
KDD
2000
ACM
101views Data Mining» more  KDD 2000»
15 years 9 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
ROBIO
2006
IEEE
110views Robotics» more  ROBIO 2006»
16 years 4 days ago
Visualization and Estimation of Contact Stimuli using Living Microorganisms
— In this paper, we propose a novel microsensing scheme in which intrinsic sensing capability in microorganisms is utilized. Extraction of signals inside the cell and decoding of...
Anchelee Davies, Naoko Ogawa, Hiromasa Oku, Koichi...