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IVC
2010
128views more  IVC 2010»
15 years 5 months ago
Online kernel density estimation for interactive learning
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
Matej Kristan, Danijel Skocaj, Ales Leonardis
NN
2010
Springer
183views Neural Networks» more  NN 2010»
15 years 5 months ago
Dimensionality reduction for density ratio estimation in high-dimensional spaces
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui
TRANSCI
2010
128views more  TRANSCI 2010»
15 years 4 months ago
An Information-Theoretic Sensor Location Model for Traffic Origin-Destination Demand Estimation Applications
To design a transportation sensor network, the decision-maker needs to determine what sensor investments should be made, as well as when, how, where and with what technologies. Th...
Xuesong Zhou, George F. List
PIMRC
2010
IEEE
15 years 4 months ago
Fast varying channel estimation in downlink LTE systems
This paper tackles the problem of fast varying channel estimation in LTE systems. Particular attention is given to downlink transmission where OFDMA is used as the multiple access ...
Youssef El Hajj Shehadeh, Serdar Sezginer
SENSYS
2010
ACM
15 years 4 months ago
Estimating building consumption breakdowns using ON/OFF state sensing and incremental sub-meter deployment
This paper considers the problem of estimating the power breakdowns for the main appliances inside a building using a small number of power meters and the knowledge of the ON/OFF ...
Deokwoo Jung, Andreas Savvides