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Semantic ScholarMayer Aladjem
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2010 – today
- 2018
[j21]Mayer Aladjem
, Itamar Israeli-Ran, Maria Bortman:
Sequential Independent Component Analysis Density Estimation. IEEE Trans. Neural Netw. Learning Syst. 29(10): 5084-5097 (2018)- [c10]Assaf Dvora, Stefania Matteoli, Stanley R. Rotman, Gil Tidhar, Marco Diani, Mayer Aladjem:
Hyperspectral Target Detection Using Semi- and Non- Parametric Methods. IGARSS 2018: 2857-2860 - [c9]Assaf Dvora, Stanley R. Rotman, Mayer Aladjem:
Hyperspectral Target Detection Using Tree-Structured Probabilistic Graphical Model and Semi-Parametric Density Estimation. WHISPERS 2018: 1-5 - 2014
- [j20]Tomer Lancewicki, Mayer Aladjem:
Locally multidimensional scaling by creating neighborhoods in diffusion maps. Neurocomputing 139: 382-396 (2014) - [j19]Tomer Lancewicki, Mayer Aladjem:
Multi-Target Shrinkage Estimation for Covariance Matrices. IEEE Trans. Signal Processing 62(24): 6380-6390 (2014) - 2013
- [j18]Zohar Halbe, Maria Bortman, Mayer Aladjem:
Regularized Mixture Density Estimation With an Analytical Setting of Shrinkage Intensities. IEEE Trans. Neural Netw. Learning Syst. 24(3): 460-470 (2013) - 2011
- [j17]Gal Ofek, Joseph Tabrikian, Mayer Aladjem:
A modular neural network for direction-of-arrival estimation of two sources. Neurocomputing 74(17): 3092-3102 (2011) - [c8]Mayer Aladjem:
Probabilistic Modeling, Projection Pursuit and Blind Source Separation. KDIR 2011: 9
2000 – 2009
- 2009
- [j16]Maria Bortman, Mayer Aladjem:
A Growing and Pruning Method for Radial Basis Function Networks. IEEE Trans. Neural Networks 20(6): 1039-1045 (2009) - 2007
- [j15]Zohar Halbe, Mayer Aladjem:
Regularized mixture discriminant analysis. Pattern Recognition Letters 28(15): 2104-2115 (2007) - 2005
- [j14]Etai Mor, Mayer Aladjem:
Boundary refinements for wavelet-domain multiscale texture segmentation. Image Vision Comput. 23(13): 1150-1158 (2005) - [j13]Zohar Halbe, Mayer Aladjem:
Model-based mixture discriminant analysis--an experimental study. Pattern Recognition 38(3): 437-440 (2005) - 2004
- [j12]Itzik Pima, Mayer Aladjem:
Regularized discriminant analysis for face recognition. Pattern Recognition 37(9): 1945-1948 (2004) - 2002
- [j11]Shlomo Greenberg, Mayer Aladjem, Daniel Kogan:
Fingerprint Image Enhancement using Filtering Techniques. Real-Time Imaging 8(3): 227-236 (2002) - [c7]Mayer Aladjem:
Projection Pursuit Fitting Gaussian Mixture Models. SSPR/SPR 2002: 396-404 - 2000
- [j10]Boaz Lerner, Hugo Guterman, Mayer Aladjem, Its'hak Dinstein:
On the Initialisation of Sammon's Nonlinear Mapping. Pattern Anal. Appl. 3(1): 61-68 (2000) - [j9]Mayer Aladjem:
Recursive training of neural networks for classification. IEEE Trans. Neural Netw. Learning Syst. 11(2): 496-503 (2000) - [c6]Shlomo Greenberg, Mayer Aladjem, Daniel Kogan, Itshak Dimitrov:
Fingerprint Image Enhancement Using Filtering Techniques. ICPR 2000: 3326-3329
1990 – 1999
- 1999
- [j8]Boaz Lerner, Hugo Guterman, Mayer Aladjem, Its'hak Dinstein:
A comparative study of neural network based feature extraction paradigms. Pattern Recognition Letters 20(1): 7-14 (1999) - [c5]Mayer Aladjem:
Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization. IDA 1999: 223-234 - 1998
- [j7]Boaz Lerner, Hugo Guterman, Mayer Aladjem, Its'hak Dinstein, Yitzhak Romem:
On pattern classification with Sammon's nonlinear mapping an experimental study. Pattern Recognition 31(4): 371-381 (1998) - [j6]Mayer Aladjem:
Nonparametric discriminant analysis via recursive optimization of Patrick-Fisher distance. IEEE Trans. Systems, Man, and Cybernetics, Part B 28(2): 292-299 (1998) - [c4]Mayer Aladjem:
Training of a ML neural network for classification via recursive reduction of the class separation. ICPR 1998: 450-452 - [c3]Mayer Aladjem:
Supervised Training of a Neural Network for Classification via Successive Modification of the Training Data - An Experimental Study. IEA/AIE (Vol. 2) 1998: 593-602 - [c2]Mayer Aladjem:
Linear Discriminant Analysis for Two Classes via Recursive Neural Network Reduction of the Class Separation. SSPR/SPR 1998: 775-784 - 1997
- [j5]Mayer Aladjem:
Linear Discriminant Analysis for Two Classes via Removal of Classification Structure. IEEE Trans. Pattern Anal. Mach. Intell. 19(2): 187-192 (1997) - 1996
- [c1]Boaz Lerner, Hugo Guterman, Mayer Aladjem, Its'hak Dinstein, Yitzhak Romem:
Feature extraction by neural network nonlinear mapping for pattern classification. ICPR 1996: 320-324 - 1993
- [j4]Mayer Aladjem:
A statistical technique for evaluating the significance of control parameters of mapping procedures. Pattern Recognition Letters 14(8): 631-636 (1993) - [j3]Mayer Aladjem:
Significance of the control parameters of a nonparametric linear mapping procedure. Pattern Recognition Letters 14(8): 637-645 (1993) - 1992
- [j2]Mayer Aladjem, Its'hak Dinstein:
Linear mappings of local data structures. Pattern Recognition Letters 13(3): 153-159 (1992) - 1991
- [j1]Mayer Aladjem:
Parametric and nonparametric linear mappings of multidimensional data. Pattern Recognition 24(6): 543-553 (1991)
Coauthor Index
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