A multibit geometrically robust image watermark based on Zernike moments

A study of Zernike moment computing

Accurate computation of Zernike moments in polar coordinates.

artículo científico publicado en 2007

Almost everywhere convergence of a recursive regression function estimate and classification (Corresp.)

Cascade non-linear system identification by a non-parametric method

Circularly orthogonal moments for geometrically robust image watermarking

Distribution-free consistency of a nonparametric kernel regression estimate and classification

Dynamic system identification with order statistics

Exponential weighting algorithms for reconstruction of bandlimited signals

Fourier and Hermite series estimates of regression functions

Hybrid Splitting Criterion in Decision Trees for Data Stream Mining

Identification of Block-oriented Systems: Nonparametric and Semiparametric Inference

Identification of MISO nonlinear systems via the semiparametric approach

Identification of discrete Hammerstein systems using kernel regression estimates

Jump preserving signal reconstruction using vertical weighting

Moving average restoration of bandlimited signals from noisy observations

Necessary and sufficient conditions for Bayes risk consistency of a recursive kernel classification rule (Corresp.)

Necessary and sufficient consistency conditions for a recursive kernel regression estimate

Nonlinear system identification by the Haar multiresolution analysis

Nonlinear system identification with nonparametric deconvolution

Nonparametric Estimation of Edge Values of Regression Functions

Nonparametric Extension of Regression Functions Outside Domain

Nonparametric Function Fitting in the Presence of Nonstationary Noise

Nonparametric Sequential Change-Point Detection by a Vertically Trimmed Box Method

Nonparametric Sequential Signal Change Detection Under Dependent Noise

Nonparametric System Identification

Nonparametric estimation of a function on a circular domain

Nonparametric identification of Hammerstein systems

Nonparametric identification of nonlinearities in block-oriented systems by orthogonal wavelets with compact support

Nonparametric sequential change-point detection by a vertical regression method

On Finite-State Vector Quantization for Noisy Channels

On Nonparametric Identification of Multi-Channel Hammerstein Systems

On Nonparametric Identification of Wiener Systems

On identification of multivariate Hammerstein systems

On image analysis by moments

On non-parametric identification of multi-channel non-linear systems by multiscale expansions

On nonparametric estimation of a functional of a probability density

On restoration of band-limited signals from noisy observations

On semiparametric identification of MISO Hammerstein systems

On the accuracy of Zernike moments for image analysis

On the almost everywhere properties of the kernel regression estimate

On the image recovery on a circular domain from noisy data

On the improvement of rotational invariance of Zernike moments

On the posterior-probability estimate of the error rate of nonparametric classification rules

On the reconstruction aspects of moment descriptors

On the recovery of a function on a circular domain

On the series expansion approach to the identification of Hammerstein systems

Orthogonal Series Estimation of Regression Functions in Nonstationary Conditions

Postfiltering versus prefiltering for signal recovery from noisy samples

Recovering band-limited signals under noise

Recursive nonparametric identification of Hammerstein systems

Robust data hiding with image invariants

Signal Sampling and Recovery Under Dependent Errors

Signal model specification testing via kernel reconstruction methods

Signal recovery under noise for not necessarily band-limited functions

Statistical Assessment of Signal and Image Symmetries

Statistical assessment of image symmetries

Testing for Image Symmetries—With Application to Confocal Microscopy