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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

Chat with Graph Search

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

Optimally Localized Wavelets and Smoothing Kernels

Mobile museum guide based on fast SIFT recognition

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

Mixtures of Boosted Classifiers for Frontal Face Detection

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

New algorithmic methods for real-time transportation problems

Steady state Kalman filtering for sensorless control of hybrid stepper motors

Motion Detection and Path Planning in Dynamic Environments

Regularization networks: fast weight calculation via Kalman filtering

Mixtures of Boosted Classifiers for Frontal Face Detection

Optimally Localized Wavelets and Smoothing Kernels

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

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

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

Mobile museum guide based on fast SIFT recognition

New algorithmic methods for real-time transportation problems

Motion Detection and Path Planning in Dynamic Environments

Steady state Kalman filtering for sensorless control of hybrid stepper motors

Regularization networks: fast weight calculation via Kalman filtering