Nathan Intrator

2008
40		Guy Amit, Jonathan Lessick, Noam Gavriely, Nathan Intrator: Acoustic Indices of Cardiac Functionality. BIOSIGNALS (2) 2008: 77-83
2007
39	EE	Omer Berkman, Nathan Intrator: Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data. MCS 2007: 479-489
38		Terry Windeatt, Matthew Prior, Niv Effron, Nathan Intrator: Ensemble-based Feature Selection Criteria. MLDM Posters 2007: 168-182
2006
37	EE	Kio Kim, Nicola Neretti, Nathan Intrator: Video Enhancement for Underwater Exploration Using Forward Looking Sonar. ACIVS 2006: 554-563
2005
36	EE	Ofer Pasternak, Nir A. Sochen, Nathan Intrator, Yaniv Assaf: Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI. NIPS 2005
35	EE	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
34	EE	Shimon Cohen, Nathan Intrator: On Different Model Selection Criteria In A Forward And Backward Regression Hybrid Network. IJPRAI 18(5): 847-865 (2004)
2003
33	EE	Shimon Cohen, Nathan Intrator: Ensemble of hybrid networks with strong regularization. ESANN 2003: 337-342
32	EE	Shimon Cohen, Nathan Intrator: A Study of Ensemble of Hybrid Networks with Strong Regularization. Multiple Classifier Systems 2003: 227-235
31	EE	Shimon Edelman, Nathan Intrator: Towards structural systematicity in distributed, statically bound visual representations. Cognitive Science 27(1): 73-109 (2003)
30	EE	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)
29	EE	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
28	EE	Shimon Edelman, Nathan Intrator, Judah S. Jacobson: Unsupervised Learning of Visual Structure. Biologically Motivated Computer Vision 2002: 629-642
27	EE	Shimon Cohen, Nathan Intrator: Forward and Backward Selection in Regression Hybrid Network. Multiple Classifier Systems 2002: 98-107
26	EE	Shimon Cohen, Nathan Intrator: Automatic model selection in a hybrid perceptron/radial network. Information Fusion 3(4): 259-266 (2002)
25	EE	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)
24	EE	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
23	EE	Shimon Cohen, Nathan Intrator: Automatic Model Selection in a Hybrid Perceptron/Radial Network. Multiple Classifier Systems 2001: 440-454
22	EE	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
21	EE	Inna Stainvas, Nathan Intrator: Blurred Face Recognition via a Hybrid Network Architecture. ICPR 2000: 2805-2808
20	EE	Shimon Cohen, Nathan Intrator: A Hybrid Projection Based and Radial Basis Function Architecture. Multiple Classifier Systems 2000: 147-156
19		Shimon Edelman, Nathan Intrator: A Productive, Systematic Framework for the Representation of Visual Structure. NIPS 2000: 10-16
1999
18	EE	Tal Steinherz, Nathan Intrator, Ehud Rivlin: Skew Detection via Principal Components Analysis. ICDAR 1999: 153-156
17	EE	Tal Steinherz, Ehud Rivlin, Nathan Intrator: Offline cursive script word recognition - a survey. IJDAR 2(2-3): 90-110 (1999)
16		Ran Avnimelech, Nathan Intrator: Boosted Mixture Of Experts: An Ensemble Learning Scheme. Neural Computation 11(2): 483-497 (1999)
15		Ran Avnimelech, Nathan Intrator: Boosting Regression Estimators. Neural Computation 11(2): 499-520 (1999)
1998
14	EE	Yocheved Dotan, Nathan Intrator: Multimodality exploration by an unsupervised projection pursuit neural network. IEEE Transactions on Neural Networks 9(3): 464-472 (1998)
13		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
12		Ariel Tankus, Hezy Yeshurun, Nathan Intrator: Face Detection by Direct Convexity Estimation. AVBPA 1997: 43-50
11		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
10	EE	Ariel Tankus, Yehezkel Yeshurun, Nathan Intrator: Face detection by direct convexity estimation. Pattern Recognition Letters 18(9): 913-922 (1997)
1996
9	EE	David Horn, Ury Naftaly, Nathan Intrator: Large Ensemble Averaging. Neural Networks: Tricks of the Trade 1996: 133-139
8	EE	Nathan Intrator: Making a Low-dimensional Representation Suitable for Diverse Tasks. Connect. Sci. 8(2): 205-224 (1996)
7	EE	Yuval Raviv, Nathan Intrator: Bootstrapping with Noise: An Effective Regularization Technique. Connect. Sci. 8(3): 355-372 (1996)
6	EE	Nathan Intrator, Daniel Reisfeld, Yehezkel Yeshurun: Face recognition using a hybrid supervised/unsupervised neural network. Pattern Recognition Letters 17(1): 67-76 (1996)
1992
5	EE	Nathan Intrator: On the Use of Projection Pursuit Constraints for Training Neural Networks. NIPS 1992: 3-10
4	EE	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	EE	Nathan Intrator, Josh I. Gold, Heinrich H. Bülthoff, Shimon Edelman: 3D Object Recognition Using Unsupervised Feature Extraction. NIPS 1991: 460-467
1990
2	EE	Nathan Intrator: Exploratory Feature Extraction in Speech Signals. NIPS 1990: 241-247
1989
1	EE	Nathan Intrator: A Neural Network for Feature Extraction. NIPS 1989: 719-726

Coauthor Index

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

Colors in the list of coauthors