Mayer Aladjem 
Associate Professor of Electrical & Computer Engineering

  Short biography  

Research Interests:  
Statistical pattern recognition and machine learning.  
Neural networks for pattern recognition.  
Multivariate data analysis, feature extraction and reduction.

 

                             Address:
                             Ben-Gurion University of the Negev,
                             Department of Electrical and Computer engineering,
                             P.O.Box 653,
                             Beer-Sheva, 84105, Israel

                             E-mail: aladjem@ee.bgu.ac.il
                             Phone: 972-8-6472409

                             Place: Room 114 / Building 33
                             Meetings on request by e-mail.

Graduate Pattern Recognition (Machine Learning) courses (2019-2020)

Semester "Bet" 2019 : Pattern Recognition, 36125321.

Semester "Aleph" 2020 : Neural Networks for Pattern Recognition - Statistical foundation, perspective and alternatives, 36125651.

 The courses are suitable for all fields of engineering specializations.  
Pattern recognition is a practical technology, with successful applications in many fields.  
The courses are intended to be largely self-contained.


                        Additional Information: Editor   Chairman   Lectures   Committees

                          Research Lab: Pattern Recognition and Intelligent Data Analysis (PRIDA)

                        PhD and M.Sc. students (List of the theses and journal publications)

                        Publications (1991-Present) in: Journals   Conference proceedings

                        Courses: Graduate level   Undergraduate level


                           Synopsis of Research   (This part is in reconstruction and extension)

Novel discriminant criteria
Interactive system for exploratory data analysis
Method for estimating the significance of the control parameters of projection procedures
Multiclass discriminant projections
New methods for successive optimization of the discriminant criteria
Comparative study of neural networks for multivariate data projection
Discriminant analysis via neural network reduction of the class separation