Nathan Intrator

	2009
44		Tal Steinherz, David S. Doermann, Ehud Rivlin, Nathan Intrator: Offline Loop Investigation for Handwriting Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 31(2): 193-209 (2009)
	2008
43		Guy Amit, Jonathan Lessick, Noam Gavriely, Nathan Intrator: Acoustic Indices of Cardiac Functionality. BIOSIGNALS (2) 2008: 77-83
	2007
42		Omer Berkman, Nathan Intrator: Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data. MCS 2007: 479-489
41		Terry Windeatt, Matthew Prior, Niv Effron, Nathan Intrator: Ensemble-based Feature Selection Criteria. MLDM Posters 2007: 168-182
	2006
40		Kio Kim, Nicola Neretti, Nathan Intrator: Video Enhancement for Underwater Exploration Using Forward Looking Sonar. ACIVS 2006: 554-563
	2005
39		Ofer Pasternak, Nir A. Sochen, Nathan Intrator, Yaniv Assaf: Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI. NIPS 2005
38		Tal Steinherz, Ehud Rivlin, Nathan Intrator, Predrag Neskovic: An Integration of Online and Pseudo-Online Information for Cursive Word Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 27(5): 669-683 (2005)
	2004
37		Shimon Cohen, Nathan Intrator: On Different Model Selection Criteria In A Forward And Backward Regression Hybrid Network. IJPRAI 18(5): 847-865 (2004)
	2003
36		Shimon Cohen, Nathan Intrator: Ensemble of hybrid networks with strong regularization. ESANN 2003: 337-342
35		Shimon Cohen, Nathan Intrator: A Study of Ensemble of Hybrid Networks with Strong Regularization. Multiple Classifier Systems 2003: 227-235
34		Shimon Edelman, Nathan Intrator: Towards structural systematicity in distributed, statically bound visual representations. Cognitive Science 27(1): 73-109 (2003)
33		Shimon Edelman, Nathan Intrator: Better limited systematicity in hand than structural descriptions in the bush: A reply to Hummel. Cognitive Science 27(2): 331-332 (2003)
32		Armando Bazzani, Daniel Remondini, Nathan Intrator, Gastone C. Castellani: The Effect of Noise on a Class of Energy-Based Learning Rules. Neural Computation 15(7): 1621-1640 (2003)
	2002
31		Shimon Edelman, Nathan Intrator, Judah S. Jacobson: Unsupervised Learning of Visual Structure. Biologically Motivated Computer Vision 2002: 629-642
30		Shimon Cohen, Nathan Intrator: Forward and Backward Selection in Regression Hybrid Network. Multiple Classifier Systems 2002: 98-107
29		Shimon Cohen, Nathan Intrator: Automatic model selection in a hybrid perceptron/radial network. Information Fusion 3(4): 259-266 (2002)
28		Daniel Remondini, Nathan Intrator, Gastone C. Castellani, F. Bersani, Leon N. Cooper: Optimal spontaneous activity in neural network modeling. Neurocomputing 44-46: 591-595 (2002)
27		Shimon Cohen, Nathan Intrator: A Hybrid Projection-based and Radial Basis Function Architecture: Initial Values and Global Optimisation. Pattern Anal. Appl. 5(2): 113-120 (2002)
	2001
26		Shimon Cohen, Nathan Intrator: Automatic Model Selection in a Hybrid Perceptron/Radial Network. Multiple Classifier Systems 2001: 440-454
25		Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Nathan Intrator: Probabilistic principles in unsupervised learning of visual structure: human data and a model. NIPS 2001: 19-26
	2000
24		Inna Stainvas, Nathan Intrator: Blurred Face Recognition via a Hybrid Network Architecture. ICPR 2000: 2805-2808
23		Shimon Cohen, Nathan Intrator: A Hybrid Projection Based and Radial Basis Function Architecture. Multiple Classifier Systems 2000: 147-156
22		Shimon Edelman, Nathan Intrator: A Productive, Systematic Framework for the Representation of Visual Structure. NIPS 2000: 10-16
	1999
21		Tal Steinherz, Nathan Intrator, Ehud Rivlin: Skew Detection via Principal Components Analysis. ICDAR 1999: 153-156
20		Tal Steinherz, Ehud Rivlin, Nathan Intrator: Offline cursive script word recognition - a survey. IJDAR 2(2-3): 90-110 (1999)
19		Ran Avnimelech, Nathan Intrator: Boosted Mixture Of Experts: An Ensemble Learning Scheme. Neural Computation 11(2): 483-497 (1999)
18		Ran Avnimelech, Nathan Intrator: Boosting Regression Estimators. Neural Computation 11(2): 499-520 (1999)
	1998
17		Yocheved Dotan, Nathan Intrator: Multimodality exploration by an unsupervised projection pursuit neural network. IEEE Transactions on Neural Networks 9(3): 464-472 (1998)
16		Brian S. Blais, Nathan Intrator, Harel Z. Shouval, Leon N. Cooper: Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules. Neural Computation 10(7): 1797-1813 (1998)
	1997
15		Ariel Tankus, Hezy Yeshurun, Nathan Intrator: Face Detection by Direct Convexity Estimation. AVBPA 1997: 43-50
14		Brian S. Blais, Nathan Intrator, Harel Z. Shouval, Leon N. Cooper: Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules. NIPS 1997
13		Ariel Tankus, Yehezkel Yeshurun, Nathan Intrator: Face detection by direct convexity estimation. Pattern Recognition Letters 18(9): 913-922 (1997)
	1996
12		David Horn, Ury Naftaly, Nathan Intrator: Large Ensemble Averaging. Neural Networks: Tricks of the Trade 1996: 133-139
11		Nathan Intrator: Making a Low-dimensional Representation Suitable for Diverse Tasks. Connect. Sci. 8(2): 205-224 (1996)
10		Yuval Raviv, Nathan Intrator: Bootstrapping with Noise: An Effective Regularization Technique. Connect. Sci. 8(3): 355-372 (1996)
9		Nathan Intrator, Daniel Reisfeld, Yehezkel Yeshurun: Face recognition using a hybrid supervised/unsupervised neural network. Pattern Recognition Letters 17(1): 67-76 (1996)
	1993
8		Nathan Intrator, Joshua I. Gold: Three-Dimensional Object Recognition Using an Unsupervised BCM Network: The Usefulness of Distinguishing Features. Neural Computation 5(1): 61-74 (1993)
7		Nathan Intrator: Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks. Neural Computation 5(3): 443-455 (1993)
	1992
6		Nathan Intrator: On the Use of Projection Pursuit Constraints for Training Neural Networks. NIPS 1992: 3-10
5		Nathan Intrator: Feature Extraction Using an Unsupervised Neural Network. Neural Computation 4(1): 98-107 (1992)
4		Nathan Intrator, Leon N. Cooper: Objective function formulation of the BCM theory of visual cortical plasticity: Statistical connections, stability conditions. Neural Networks 5(1): 3-17 (1992)
	1991
3		Nathan Intrator, Joshua I. Gold, Heinrich H. Bülthoff, Shimon Edelman: 3D Object Recognition Using Unsupervised Feature Extraction. NIPS 1991: 460-467
	1990
2		Nathan Intrator: Exploratory Feature Extraction in Speech Signals. NIPS 1990: 241-247
	1989
1		Nathan Intrator: A Neural Network for Feature Extraction. NIPS 1989: 719-726

Coauthor Index

1	Guy Amit	[43]
2	Yaniv Assaf	[39]
3	Ran Avnimelech	[18] [19]
4	Armando Bazzani	[32]
5	Omer Berkman	[42]
6	F. Bersani	[28]
7	Brian S. Blais	[14] [16]
8	Heinrich H. Bülthoff	[3]
9	Gastone C. Castellani	[28] [32]
10	Shimon Cohen	[23] [26] [27] [29] [30] [35] [36] [37]
11	Leon N. Cooper	[4] [14] [16] [28]
12	David S. Doermann	[44]
13	Yocheved Dotan	[17]
14	Shimon Edelman	[3] [22] [25] [31] [33] [34]
15	Niv Effron	[41]
16	Noam Gavriely	[43]
17	Joshua I. Gold	[3] [8]
18	Benjamin P. Hiles	[25]
19	David Horn	[12]
20	Judah S. Jacobson	[31]
21	Kio Kim	[40]
22	Jonathan Lessick	[43]
23	Ury Naftaly	[12]
24	Nicola Neretti	[40]
25	Predrag Neskovic	[38]
26	Ofer Pasternak	[39]
27	Matthew Prior	[41]
28	Yuval Raviv	[10]
29	Daniel Reisfeld	[9]
30	Daniel Remondini	[28] [32]
31	Ehud Rivlin	[20] [21] [38] [44]
32	Harel Z. Shouval	[14] [16]
33	Nir A. Sochen	[39]
34	Inna Stainvas	[24]
35	Tal Steinherz	[20] [21] [38] [44]
36	Ariel Tankus	[13] [15]
37	Terry Windeatt	[41]
38	Hwajin Yang	[25]
39	Hezy Yeshurun	[15]
40	Yehezkel Yeshurun	[9] [13]

Colors in the list of coauthors