Pattern Recognition and Intelligent Data Analysis (PRIDA) Lab

Head of the Lab: Prof. Mayer Aladjem

Ph.D and M.Sc. Students,
Theses and journal publications with my students:

Ph.D. students (Graduated)
Master students (Graduated 2009-2019)
Master students (Graduated until 2009)


Ph.D. students (Graduated) :

1. Zoar Halbe, "Mixture models for pattern recognition" (Graduated 28-AUG-11)

H. Zohar, M. Bortman and M. Aladjem (2013) "Regularized Mixture Density Estimation With an Analytical Setting of Shrinkage Intensities ", IEEE Transactions on Neural Networks and Learning Systems , vol.24, pp.460-470
H. Zohar and M. Aladjem (2007) "Regularized Mixture Discriminant Analysis", Pattern Recognition Letters , vol.28, pp.2104-2116.
H. Zohar and M. Aladjem(2005) "Model-based mixture discriminant analysis - an experimental study", Pattern Recognition , Volume 38, Issue 3, March 2005, pp. 437-440,

2. Maria Bortman , "Multivariate Probabilistic Modeling - Neural Networks and Mixture Models" (Graduated 05-MAR-15)

M. Bortman and M. Aladjem (2009) "A Growing and Pruning Method for Radial Basis Function Networks", IEEE Transactions on Neural Networks , vol. 20, pp.1039-1045.
H. Zohar, M. Bortman and M. Aladjem (2013) "Regularized Mixture Density Estimation With an Analytical Setting of Shrinkage Intensities ", IEEE Transactions on Neural Networks and Learning Systems , vol.24, pp.460-470
M. Aladjem, I. Israeli-Ran and M. Bortman (2018) "Sequential independent component analysis density estimation", IEEE Transactions on Neural Networks and Learning Systems, VOL. 29, pp. 5084-5097

3. Etay Mor, "Sparse Approximation of Overlapping Ultrasonic Echoes" (Graduated 16-MAY-15)
(work in progress-jointly supervised with Dr.Amnon Azulai, Soreq nuclear research center)

E. Mor, M. Aladjem and A. Azoulay, (2018) "A Sparse Approximation Method for Ultrasonic Monitoring the Degradation of Adhesive Joints", NDT & E International , Vol: 98 , pp 17-26

E. Mor, M. Aladjem and A. Azoulay, (2015) "Cluster-enhanced sparse approximation of overlapping ultrasonic echoes", IEEE Transactions on on Ultrasonics, Ferroelectrics, and Frequency Control , vol. 62, pp. 373-386

E. Mor, A. Azoulay and M. Aladjem (2010) "A Matching Pursuit Method for Approximating Overlapping Ultrasonic Echoes", IEEE Transactions on on Ultrasonics, Ferroelectrics, and Frequency Control , vol.57, pp.1996-2004.
E. Mor and M. Aladjem(2005) "Boundary Refinements for Wavelet-Domain Multiscale Texture Segmentation", Image and Vision Computing , vol. 23, pp.1150-1158.

4. Tomer Lancewicki, "Dimensionality Reduction and Shrinkage Estimation in Multivariate Data" (16-MAR-15)

T. Lancewicki and M. Aladjem (2014) "Multi-Target Shrinkage Estimation for Covariance Matrices", IEEE Transactions on Signal Processing , pp. 6380-6390

T. Lancewicki and M. Aladjem (2014) "A Locally Multidimensional Scaling by Creating Neighborhoods in Diffusion Map", Neurocomputing, pp. 382-396



Master students (Graduated 2009-2018):

1. Haim Yona , "Speech recognition by incorporating VB-EM algorithm into HMM Tool Kit (HTK)"

2. Dmitry Kirzhner
, "A Method for Blind Separation of Sub-Gaussian Post-Nonlinear Mixtures"

3. Merav Ben-Asher , "Spatio-Temporal characterization of pre-ictal EEG using BSS and fuzzy cluster analysis"
(jointly supervised with Prof. A. Geva - Department of Electrical and Computer Engineering, BGU; and Dr. Alon Friedman, Laboratory for Experimental Neurosurgery, BGU)


Amir Geva, Merav Ben-Asher, Dan Kerem, Mayer Aladjem and Alon Friedman (2012) "Automated Non-Invasive Identification and Localization of Focal Epileptic Activity by Exploiting Information Derived from Surface EEG Recordings",Chapter 5 in book: Epilepsy - Histological, Electroencephalographic and Psychological Aspects , Edited by Dejan Stevanovic,[InTech Publisher]

4. Barak Laish
, "Unsupervised multi-stage method for image segmentation"

5. Amit Assa
, "Shrinkage discriminant analysis" (Direct M.Sc. Program, jointly supervised with Prof. Edna Schechtman - Department of Industrial Engineering and Managment, BGU)

6. Maor Nissan
, "A Score Normalization method in speaker verification" (project - M.Sc. degree without thesis)

7. Igal Grinis
, "Study of kernel methods for discriminant analysis"

8. Idan Kizerman , "Spatiotemporal Blind Source Separation"


9. Shay Yacobi
, "Variational Bayesian Mixture of Factor Analyzers"


10. Ohad Shaubi , "Ensemble Based Recognition with Boosted Extended Linear Discriminant Analysis" (Direct M.Sc. Program)


11. Dvir Hadad , "Studies of Support Vector Machines methods" (project - M.Sc. degree without thesis)


12. Michael Dimshits, "Study of Methods for Simplifying Mixture Models"


13. Shir Meir , "Classification Methods Based on an Extended Fisher Discriminant Analysis" (Direct M.Sc. Program)


14. Rita Lopatin , "Study of Sparse Classification Methods"

15. Itamar Israeli-Ran , "Studies of Independent Component Analysis Methods for Density Estimation"

M. Aladjem, I. Israeli-Ran and M. Bortman (2018) "Sequential independent component analysis density estimation", IEEE Transactions on Neural Networks and Learning Systems, VOL. 29, pp. 5084-5097.

16. Roi Dangur, "Multivariate Density Estimation by Local Variational Bayes Mixture of Factor Analvzers"

17. Assaf Asbag, "Studies of support vector machine active learning"

18. Assaf Dvora, "Target Detection in Hyperspectral Images" (jointly supervised with Prof. Stanley Rotman- Department of Electrical and Computer Engineering, BGU)

A. Davorah, S. Matteoli, S. Rotman, G. Tidhar, M. Diani, M. Aladjem (2018) "Hyperspectral Target Detection Using Semi- and Non-parametric Methods" International Geoscience and Remote Sensing Symposium 2018 (IGARSS 2018), Valencia, Spain, July 23 to July 27th, 2018 (in the proceedings of IGARSS 2018 pp. 2865-2868.)

A. Davorah, S. Rotman, M. Aladjem (2018) "Hyperspectral Target Detection Using Tree-Structure Probabilistic Graphical Model and Semi-Parametric Density Estimation" 9th Workshop on Hyperspectral Image and Signal Processing: Evaluation in Remote Sensing (WHISPERS 2018), Amsterdam, The Netherlands, 23 - 26 September 2018



Master students (Graduated until 2009):

1. Gal Ofek (Graduated in 2008), "Source localization using neural networks"
(jointly supervised with Dr. J. Tabrikian - Department of Electrical and Computer Engineering, BGU)

G. Ofek, J. Tabrikian M. Aladjem (2011) "A Modular Neural Network for Direction-of-Arrival Estimation", Neurocomputing, vol.74, pp.3092-3102

2.Maria Bortman
(Graduated in 2006), "Real time pattern recognition"

3. Alon Gines (Graduated in 2006), "Image changes detection using ROI extraction techniques"
(jointly supervised with Dr. S. Greenberg - Department of Communication Systems Engineering, BGU)

4. Daniel Kogan (Graduated in 2005), "Global motion estimation and scene-cut detection in video sequences using wavelets"
(jointly supervised with Dr. S. Greenberg - Department of Communication Systems Engineering, BGU)

S. Greenberg, M. Aladjem, D. Kogan (2002) "Fingerprint Image Enhancement Using Filtering Techniques", Real-Time Imaging, Vol. 8, pp.227-236.

5. Daniel Estrakh (Graduated in 2005), "Density Estimation with support vector machines"

6. Zoar Halbe (Graduated in 2004), "Mixture discriminant analysis"
H. Zohar, M. Aladjem(2005) "Model-based mixture discriminant analysis - an experimental study", Pattern Recognition , Volume 38, Issue 3, March 2005, pp. 437-440,

7. Etai Mor (Graduated in 2004), "Texture image segmentation using wavelets"
E. Mor , M. Aladjem(2005) "Boundary Refinements for Wavelet-Domain Multiscale Texture Segmentation", Image and Vision Computing , vol. 23, pp.1150-1158.

8. Yitzhak Fima (Graduated in 2002), "A study of feature extraction methods for face recognition"
I. Pima, M. Aladjem(2004) "Regularized discriminant analysis for face recognition", Pattern Recognition , Volume 37, Issue 9, September 2004, pp. 1945-1948 ,

9. Natela Lichtrov (Graduated in 2000), "Graphical interactive classification"

N. Likhterov, M. Aladjem(2003) "Two Dimensional Projection Pursuit Applied to Gaussian Mixture Model Fitting", Journal of Systemics, Cybernetics and Informatics, Vol. 1, Number 4.

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