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Square-root arrays Chandrasekhar recursions for H-infinity problems

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Regularization networks: fast weight calculation via Kalman filtering

Giancarlo Ferrari Trecate

Regularization networks are nonparametric estimators obtained from the application of Tychonov regularization or Bayes estimation to the hypersurface reconstruction problem. Their main drawback is that the computation of the weights scales as

O(n^3)

wher ...

2001

Square-root arrays Chandrasekhar recursions for H-infinity problems

Graph Chatbot

Chattez avec Graph Search

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Feature point tracking combining the Interacting Multiple Model filter and an efficient assignment algorithm

Block-Floating-Point Enhanced MMSE Filter Matrix Computation for MIMO-OFDM Communication Systems

Steady state Kalman filtering for sensorless control of hybrid stepper motors

Optimally Localized Wavelets and Smoothing Kernels

An efficient algorithm for real-time estimation and prediction of dynamic OD table

New algorithmic methods for real-time transportation problems

Regularization networks: fast weight calculation via Kalman filtering

Motion Detection and Path Planning in Dynamic Environments

Mixtures of Boosted Classifiers for Frontal Face Detection

Mobile museum guide based on fast SIFT recognition