Object and texture classification using higher order statistics

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Edge and Curve Detection for Visual Scene Analysis

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Texture discrimination by Gabor functions

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Position, rotation, and scale invariant optical correlation

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Classification of textures using Gaussian Markov random fields

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Identification of nonminimum phase systems using higher order statistics

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Deconvolution and Estimation of Transfer Function Phase and Coefficients for Nongaussian Linear Processes

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Deconvolution and Estimation of Transfer Function Phase and Coefficients for Nongaussian Linear Processes

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Rotation-invariant digital pattern recognition using circular harmonic expansion

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Estimation of the Bispectrum

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Triple correlations

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Segmentation of textured images and Gestalt organization using spatial/spatial-frequency representations

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Identification of image and blur parameters for the restoration of noncausal blurs

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Cumulants: A powerful tool in signal processing

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Signal detection and classification using matched filtering and higher order statistics

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Decorrelation Methods of Texture Feature Extraction

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Asymptotically optimal estimation of MA and ARMA parameters of non-Gaussian processes from high-order moments

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Optimal linear-quadratic systems for detection and estimation

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Visual Discrimination of Stochastic Texture Fields

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Computer description of textured surfaces

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Texture classification using features derived from random field models

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A unifying maximum-likelihood view of cumulant and polyspectral measures for non-Gaussian signal classification and estimation

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A Max-Min Measure for Image Texture Analysis

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On estimating noncausal nonminimum phase ARMA models of non-Gaussian processes

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Characterization and estimation of two-dimensional ARMA models

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An estimation-theoretic approach to terrain image segmentation

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On the identifiability of non-Gaussian ARMA models using cumulants

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Shift- and rotation-invariant object reconstruction using the bispectrum

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Linear modeling of multidimensional non-gaussian processes using cumulants

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Signal reconstruction from multiple correlations: frequency- and time-domain approaches

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Applications of stochastic texture field models to image processing

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Invariant pattern recognition, symmetry, and Radon transforms

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FOURIER INFERENCE: SOME METHODS FOR THE ANALYSIS OF ARRAY AND NONGAUSSIAN SERIES DATA¹

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Univariate and multivariate random field models for images

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Extraction Of Independent Sources From Correlated Inputs A Solution Based On Cumulants

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A correlation based technique for shift, scale, and rotation independent object identification

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Texture model validation using higher-order statistics

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Object detection and classification using matched filtering and higher-order statistics

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Object classification and registration by Radon transform based invariants

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