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AAAI
2004
14 years 11 months ago
Identifying Linear Causal Effects
This paper concerns the assessment of linear cause-effect relationships from a combination of observational data and qualitative causal structures. The paper shows how techniques ...
Jin Tian
INFOCOM
2009
IEEE
15 years 4 months ago
Passive Loss Inference in Wireless Sensor Networks Based on Network Coding
Abstract—The highly stochastic nature of wireless environments makes it desirable to monitor link loss rates in wireless sensor networks. In this paper, we study the loss inferen...
Yunfeng Lin, Ben Liang, Baochun Li
NECO
2002
104views more  NECO 2002»
14 years 9 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
ISM
2008
IEEE
159views Multimedia» more  ISM 2008»
14 years 9 months ago
Adaptive Modeling of a User's Daily Life with a Wearable Sensor Network
In an environment where the contexts of users are complex and the degree of freedom of user activity is very high, such as in daily life, several factors need to be considered for...
Hyoungnyoun Kim, Ig-Jae Kim, Hyoung-Gon Kim, Ji-Hy...
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ICANN
2005
Springer
15 years 3 months ago
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Carlos Miravet, Francisco de Borja Rodrígue...