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» Using Data Mining to Estimate Missing Sensor Data
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SDM
2009
SIAM
162views Data Mining» more  SDM 2009»
16 years 3 months ago
Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanish...
JCM
2007
102views more  JCM 2007»
15 years 5 months ago
A Setup for the Evaluation of MUSIC and LMS Algorithms for a Smart Antenna System
— This paper presents practical design of a smart antenna system based on direction-of-arrival estimation and adaptive beamforming. Direction-of-arrival (DOA) estimation is based...
Raed M. Shubair, Mahmoud Al-Qutayri, Jassim M. Sam...
EWSN
2009
Springer
16 years 24 days ago
SCOPES: Smart Cameras Object Position Estimation System
In this paper we present SCOPES, a distributed Smart Camera Object Position Estimation sensor network System that provides maps of distribution of people in indoors environments. ...
Ankur Kamthe, Lun Jiang, Matthew Dudys, Alberto Ce...
NIPS
2000
15 years 7 months ago
Learning and Tracking Cyclic Human Motion
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...
WAIM
2009
Springer
16 years 18 days ago
SLICE: A Novel Method to Find Local Linear Correlations by Constructing Hyperplanes
Finding linear correlations in dataset is an important data mining task, which can be widely applied in the real world. Existing correlation clustering methods combine clustering w...
Liang Tang, Changjie Tang, Lei Duan, Yexi Jiang, J...