Mayer E. Aladjem

According to our database, Mayer E. Aladjem authored at least 30 papers between 1991 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Sequential Independent Component Analysis Density Estimation.

Mayer E. Aladjem, Itamar Israeli-Ran, Maria Bortman

IEEE Trans. Neural Networks Learn. Syst., 2018

Hyperspectral Target Detection Using Tree-Structured Probabilistic Graphical Model and Semi-Parametric Density Estimation.

Assaf Dvora, Stanley R. Rotman, Mayer E. Aladjem

Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Hyperspectral Target Detection Using Semi- and Non- Parametric Methods.

Assaf Dvora, Stefania Matteoli, Stanley R. Rotman, Gil Tidhar, Marco Diani, Mayer E. Aladjem

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2014

Multi-Target Shrinkage Estimation for Covariance Matrices.

Tomer Lancewicki, Mayer E. Aladjem

IEEE Trans. Signal Process., 2014

Locally multidimensional scaling by creating neighborhoods in diffusion maps.

Tomer Lancewicki, Mayer E. Aladjem

Neurocomputing, 2014

2013

Regularized Mixture Density Estimation With an Analytical Setting of Shrinkage Intensities.

Zohar Halbe, Maria Bortman, Mayer E. Aladjem

IEEE Trans. Neural Networks Learn. Syst., 2013

2011

A modular neural network for direction-of-arrival estimation of two sources.

Gal Ofek, Joseph Tabrikian, Mayer E. Aladjem

Neurocomputing, 2011

2009

A Growing and Pruning Method for Radial Basis Function Networks.

Maria Bortman, Mayer E. Aladjem

IEEE Trans. Neural Networks, 2009

2007

Regularized mixture discriminant analysis.

Zohar Halbe, Mayer E. Aladjem

Pattern Recognit. Lett., 2007

2005

Projection pursuit mixture density estimation.

Mayer E. Aladjem

IEEE Trans. Signal Process., 2005

Model-based mixture discriminant analysis--an experimental study.

Zohar Halbe, Mayer E. Aladjem

Pattern Recognit., 2005

Boundary refinements for wavelet-domain multiscale texture segmentation.

Etai Mor, Mayer E. Aladjem

Image Vis. Comput., 2005

2004

Regularized discriminant analysis for face recognition.

Itzik Pima, Mayer E. Aladjem

Pattern Recognit., 2004

2000

Recursive training of neural networks for classification.

Mayer E. Aladjem

IEEE Trans. Neural Networks Learn. Syst., 2000

On the Initialisation of Sammon's Nonlinear Mapping.

Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein

Pattern Anal. Appl., 2000

1999

A comparative study of neural network based feature extraction paradigms.

Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein

Pattern Recognit. Lett., 1999

Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization.

Mayer E. Aladjem

Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

1998

Nonparametric discriminant analysis via recursive optimization of Patrick-Fisher distance.

Mayer E. Aladjem

IEEE Trans. Syst. Man Cybern. Part B, 1998

On pattern classification with Sammon's nonlinear mapping an experimental study.

Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein, Yitzhak Romem

Pattern Recognit., 1998

Supervised Training of a Neural Network for Classification via Successive Modification of the Training Data - An Experimental Study.

Mayer E. Aladjem

Proceedings of the Tasks and Methods in Applied Artificial Intelligence, 1998

1997

Linear Discriminant Analysis for Two Classes via Removal of Classification Structure.

Mayer E. Aladjem

IEEE Trans. Pattern Anal. Mach. Intell., 1997

1996

Feature extraction by neural network nonlinear mapping for pattern classification.

Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein, Yitzhak Romem

Proceedings of the 13th International Conference on Pattern Recognition, 1996

Two-class pattern discrimination via recursive optimization of Patrick-Fisher distance.

Mayer E. Aladjem

Proceedings of the 13th International Conference on Pattern Recognition, 1996

Recursive optimization of an extended Fisher discriminant criterion.

Mayer E. Aladjem

Proceedings of Third International Conference on Electronics, Circuits, and Systems, 1996

1994

Multiclass discriminant mappings.

Mayer E. Aladjem

Signal Process., 1994

1993

Significance of the control parameters of a nonparametric linear mapping procedure.

Mayer E. Aladjem

Pattern Recognit. Lett., 1993

A statistical technique for evaluating the significance of control parameters of mapping procedures.

Mayer E. Aladjem

Pattern Recognit. Lett., 1993

1992

Linear mappings of local data structures.

Mayer E. Aladjem, Its'hak Dinstein

Pattern Recognit. Lett., 1992

A multiclass extension of discriminant mappings.

Mayer E. Aladjem, Its'hak Dinstein

Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1991

Parametric and nonparametric linear mappings of multidimensional data.

Mayer E. Aladjem

Pattern Recognit., 1991