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NIPS
1998
13 years 10 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
IFIP12
2007
13 years 10 months ago
Patient Fall Detection using Support Vector Machines
This paper presents a novel implementation of a patient fall detection system that may be used for patient activity recognition and emergency treatment. Sensors equipped with accel...
Charalampos Doukas, Ilias Maglogiannis, Philippos ...
ICRA
2009
IEEE
175views Robotics» more  ICRA 2009»
13 years 6 months ago
Human daily activity recognition in robot-assisted living using multi-sensor fusion
In this paper, we propose a human daily activity recognition method by fusing the data from two wearable inertial sensors attached on one foot and the waist of the human subject, r...
Chun Zhu, Weihua Sheng
ISMIS
2003
Springer
14 years 2 months ago
Evolutionary Computation for Optimal Ensemble Classifier in Lymphoma Cancer Classification
Owing to the development of DNA microarray technologies, it is possible to get thousands of expression levels of genes at once. If we make the effective classification system with ...
Chanho Park, Sung-Bae Cho
MICRO
2008
IEEE
138views Hardware» more  MICRO 2008»
14 years 3 months ago
Hybrid analytical modeling of pending cache hits, data prefetching, and MSHRs
As the number of transistors integrated on a chip continues to increase, a growing challenge is accurately modeling performance in the early stages of processor design. Analytical...
Xi E. Chen, Tor M. Aamodt