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BSN
2011
IEEE
233views Sensor Networks» more  BSN 2011»
14 years 2 months ago
Compressive Sensing of Neural Action Potentials Using a Learned Union of Supports
—Wireless neural recording systems are subject to stringent power consumption constraints to support long-term recordings and to allow for implantation inside the brain. In this ...
Zainul Charbiwala, Vaibhav Karkare, Sarah Gibson, ...
IROS
2007
IEEE
138views Robotics» more  IROS 2007»
15 years 9 months ago
On-demand sharing of a high-resolution panorama video from networked robotic cameras
— Due to their flexibility in coverage and resolution, networked robotic cameras become more and more popular in applications such as natural observation, security surveillance,...
Ni Qin, Dezhen Song
ESWA
2008
223views more  ESWA 2008»
15 years 2 months ago
Credit risk assessment with a multistage neural network ensemble learning approach
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
Lean Yu, Shouyang Wang, Kin Keung Lai
AAAI
2004
15 years 4 months ago
Learning and Inferring Transportation Routines
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
Lin Liao, Dieter Fox, Henry A. Kautz
AMAI
2008
Springer
15 years 2 months ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens