Sciweavers

163 search results - page 14 / 33
» Optimal Nonlinear Prediction of Random Fields on Networks
Sort
View
CORR
2007
Springer
82views Education» more  CORR 2007»
13 years 7 months ago
One-bit Distributed Sensing and Coding for Field Estimation in Sensor Networks
Abstract—This paper formulates and studies a general distributed field reconstruction problem using a dense network of noisy one-bit randomized scalar quantizers in the presence...
Ye Wang, Prakash Ishwar, Venkatesh Saligrama
CDC
2009
IEEE
104views Control Systems» more  CDC 2009»
14 years 10 days ago
Moment-based analysis of synchronization in small-world networks of oscillators
— In this paper, we investigate synchronization in a small-world network of coupled nonlinear oscillators. This network is constructed by introducing random shortcuts in a neares...
Victor M. Preciado, Ali Jadbabaie
ICANN
2007
Springer
14 years 1 months ago
Input Selection for Radial Basis Function Networks by Constrained Optimization
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
Jarkko Tikka
IJCNN
2008
IEEE
14 years 2 months ago
Long-term prediction of time series using NNE-based projection and OP-ELM
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury L...
TIP
2008
126views more  TIP 2008»
13 years 7 months ago
Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation
Abstract--In this paper, we propose a maximum-entropy expectation-maximization (MEEM) algorithm. We use the proposed algorithm for density estimation. The maximum-entropy constrain...
Hunsop Hong, Dan Schonfeld