Search Results - "Aladjem, Mayer"

Sequential Independent Component Analysis Density Estimation by Aladjem, Mayer, Israeli-Ran, Itamar, Bortman, Maria

“…A problem of multivariate probability density function estimation by exploiting linear independent components analysis (ICA) is addressed. Historically, ICA…”
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Multi-Target Shrinkage Estimation for Covariance Matrices by Lancewicki, Tomer, Aladjem, Mayer

“…Covariance matrix estimation is problematic when the number of samples is relatively small compared with the number of variables. One way to tackle this…”
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A comparative study of neural network based feature extraction paradigms by Lerner, Boaz, Guterman, Hugo, Aladjem, Mayer, Dinstein, Its'hak

“…The projection maps and derived classification accuracies of a neural network (NN) implementation of Sammon's mapping, an auto-associative NN (AANN) and a…”
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A sparse approximation method for Ultrasonic Monitoring the degradation of adhesive joints by Mor, Etai, Aladjem, Mayer, Azoulay, Amnon

“…Ultrasonic pulse-echo methods have played a significant role in monitoring the integrity of adhesive joints along their service life. However, since for thin…”
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Locally multidimensional scaling by creating neighborhoods in diffusion maps by Lancewicki, Tomer, Aladjem, Mayer

“…This paper analyzes and improves an advanced multidimensional scaling method, known as locally multidimensional scaling, which assumes that high-dimensional…”
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A matching pursuit method for approximating overlapping ultrasonic echoes by Mor, Etai, Azoulay, Amnon, Aladjem, Mayer

“…Ultrasonic pulse-echo methods have been used extensively in measuring the thickness of layered structures as well as those of thin adhesive interface layers…”
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Cluster-enhanced sparse approximation of overlapping ultrasonic echoes by Mor, Etai, Aladjem, Mayer, Azoulay, Amnon

“…Ultrasonic pulse-echo methods have been used extensively in non-destructive testing of layered structures. In acoustic measurements on thin layers, the…”
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Regularized Mixture Density Estimation With an Analytical Setting of Shrinkage Intensities by Halbe, Zohar, Bortman, Maria, Aladjem, Mayer

“…In this paper, we propose a method for P-variate probability density estimation assuming a Gaussian mixture model (GMM). Our method exploits a regularization…”
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A modular neural network for direction-of-arrival estimation of two sources by Ofek, Gal, Tabrikian, Joseph, Aladjem, Mayer

“…This work addresses the problem of estimating the direction-of-arrival (DOA) of two sources using an array of sensors. This problem is mostly useful in radar…”
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Regularized mixture discriminant analysis by Halbe, Zohar, Aladjem, Mayer

“…In this paper, we seek a Gaussian mixture model (GMM) of the class-conditional densities for plug-in Bayes classification. We propose a method for setting the…”
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Projection pursuit mixture density estimation by Aladjem, M.

“…In this paper we seek a Gaussian mixture model (GMM) of an n-variate probability density function. Usually the parameters of GMMs are determined in the…”
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Regularized discriminant analysis for face recognition by Pima, Itzik, Aladjem, Mayer

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Boundary refinements for wavelet-domain multiscale texture segmentation by Mor, Etai, Aladjem, Mayer

“…We propose a method based on the Hidden Markov Tree (HMT) model for multiscale image segmentation in the wavelet domain. We use the inherent tree structure of…”
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Model-based mixture discriminant analysis—an experimental study by Halbe, Zohar, Aladjem, Mayer

“…The subject of this paper is an experimental study of a discriminant analysis (DA) based on Gaussian mixture estimation of the class-conditional densities…”
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Hyperspectral Target Detection Using Tree-Structured Probabilistic Graphical Model and Semi-Parametric Density Estimation by Dvora, Assaf, Rotman, Stanley, Aladjem, Mayer

“…In this paper, we propose a novel semi-parametric target detector to be used within the general detection framework of the likelihood ratio test for the…”
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Linear discriminant analysis for two classes via removal of classification structure by Aladjem, M.

“…A new method for two-class linear discriminant analysis, called "removal of classification structure", is proposed. Its novelty lies in the transformation of…”
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Two Dimensional Projection Pursuit Applied to Gaussian Mixture Model Fitting by Natella Likhterov, Mayer Aladjem

“…In this paper we seek a Gaussian mixture model (GMM) of an n-variate probability density function. Usually the parameters of GMMs are determined by a maximum…”
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Recursive training of neural networks for classification by Aladjem, M.

“…A method for recursive training of neural networks for classification is proposed. It searches for the discriminant functions corresponding to several small…”
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Hyperspectral Target Detection Using Semi- and Non- Parametric Methods by Dvora, Assaf, Mattcoli, Stefania, Rotman, Stanley, Tidhar, Gil, Diani, Marco, Aladjem, Mayer

“…In this paper we propose novel semi- and non- parametric detectors to be used with the additive target signal model within the general detection framework of…”
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On pattern classification with Sammon's nonlinear mapping an experimental study by Lerner, Boaz, Guterman, Hugo, Aladjem, Mayer, Dinsteint, Its'hak, Romem, Yitzhak

“…Sammon's mapping is conventionally used for exploratory data projection, and as such is usually inapplicable for classification. In this paper we apply a…”
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