Mayer Aladjem

	2011
23		Mayer Aladjem: Probabilistic Modeling, Projection Pursuit and Blind Source Separation. KDIR 2011: 9
22		Gal Ofek, Joseph Tabrikian, Mayer Aladjem: A modular neural network for direction-of-arrival estimation of two sources. Neurocomputing 74(17): 3092-3102 (2011)
	2009
21		Maria Bortman, Mayer Aladjem: A Growing and Pruning Method for Radial Basis Function Networks. IEEE Transactions on Neural Networks 20(6): 1039-1045 (2009)
	2007
20		Zohar Halbe, Mayer Aladjem: Regularized mixture discriminant analysis. Pattern Recognition Letters 28(15): 2104-2115 (2007)
	2005
19		Etai Mor, Mayer Aladjem: Boundary refinements for wavelet-domain multiscale texture segmentation. Image Vision Comput. 23(13): 1150-1158 (2005)
18		Zohar Halbe, Mayer Aladjem: Model-based mixture discriminant analysis--an experimental study. Pattern Recognition 38(3): 437-440 (2005)
	2004
17		Itzik Pima, Mayer Aladjem: Regularized discriminant analysis for face recognition. Pattern Recognition 37(9): 1945-1948 (2004)
	2002
16		Mayer Aladjem: Projection Pursuit Fitting Gaussian Mixture Models. SSPR/SPR 2002: 396-404
15		Shlomo Greenberg, Mayer Aladjem, Daniel Kogan: Fingerprint Image Enhancement using Filtering Techniques. Real-Time Imaging 8(3): 227-236 (2002)
	2000
14		Shlomo Greenberg, Mayer Aladjem, Daniel Kogan, Itshak Dimitrov: Fingerprint Image Enhancement Using Filtering Techniques. ICPR 2000: 3326-3329
13		Mayer Aladjem: Recursive training of neural networks for classification. IEEE Trans. Neural Netw. Learning Syst. 11(2): 496-503 (2000)
12		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)
	1999
11		Mayer Aladjem: Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization. IDA 1999: 223-234
10		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)
	1998
9		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
8		Mayer Aladjem: Linear Discriminant Analysis for Two Classes via Recursive Neural Network Reduction of the Class Separation. SSPR/SPR 1998: 775-784
7		Mayer Aladjem: Nonparametric discriminant analysis via recursive optimization of Patrick-Fisher distance. IEEE Transactions on Systems, Man, and Cybernetics, Part B 28(2): 292-299 (1998)
6		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)
	1997
5		Mayer Aladjem: Linear Discriminant Analysis for Two Classes via Removal of Classification Structure. IEEE Trans. Pattern Anal. Mach. Intell. 19(2): 187-192 (1997)
	1993
4		Mayer Aladjem: A statistical technique for evaluating the significance of control parameters of mapping procedures. Pattern Recognition Letters 14(8): 631-636 (1993)
3		Mayer Aladjem: Significance of the control parameters of a nonparametric linear mapping procedure. Pattern Recognition Letters 14(8): 637-645 (1993)
	1992
2		Mayer Aladjem, Its'hak Dinstein: Linear mappings of local data structures. Pattern Recognition Letters 13(3): 153-159 (1992)
	1991
1		Mayer Aladjem: Parametric and nonparametric linear mappings of multidimensional data. Pattern Recognition 24(6): 543-553 (1991)

Coauthor Index

1	Maria Bortman	[21]
2	Itshak Dimitrov	[14]
3	Its'hak Dinstein	[2] [6] [10] [12]
4	Shlomo Greenberg	[14] [15]
5	Hugo Guterman	[6] [10] [12]
6	Zohar Halbe	[18] [20]
7	Daniel Kogan	[14] [15]
8	Boaz Lerner	[6] [10] [12]
9	Etai Mor	[19]
10	Gal Ofek	[22]
11	Itzik Pima	[17]
12	Yitzhak Romem	[6]
13	Joseph Tabrikian	[22]

Colors in the list of coauthors

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