| * | 2009 |
|---|
| 43 | EE | 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 |
|---|
| 42 | | Guy Amit,
Jonathan Lessick,
Noam Gavriely,
Nathan Intrator:
Acoustic Indices of Cardiac Functionality.
BIOSIGNALS (2) 2008: 77-83 |
| 2007 |
|---|
| 41 | EE | Omer Berkman,
Nathan Intrator:
Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data.
MCS 2007: 479-489 |
| 40 | | Terry Windeatt,
Matthew Prior,
Niv Effron,
Nathan Intrator:
Ensemble-based Feature Selection Criteria.
MLDM Posters 2007: 168-182 |
| 2006 |
|---|
| 39 | EE | Kio Kim,
Nicola Neretti,
Nathan Intrator:
Video Enhancement for Underwater Exploration Using Forward Looking Sonar.
ACIVS 2006: 554-563 |
| 2005 |
|---|
| 38 | EE | Ofer Pasternak,
Nir A. Sochen,
Nathan Intrator,
Yaniv Assaf:
Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI.
NIPS 2005 |
| 37 | 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 |
|---|
| 36 | 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 |
|---|
| 35 | EE | Shimon Cohen,
Nathan Intrator:
Ensemble of hybrid networks with strong regularization.
ESANN 2003: 337-342 |
| 34 | EE | Shimon Cohen,
Nathan Intrator:
A Study of Ensemble of Hybrid Networks with Strong Regularization.
Multiple Classifier Systems 2003: 227-235 |
| 33 | EE | Shimon Edelman,
Nathan Intrator:
Towards structural systematicity in distributed, statically bound visual representations.
Cognitive Science 27(1): 73-109 (2003) |
| 32 | 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) |
| 31 | 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 |
|---|
| 30 | EE | Shimon Edelman,
Nathan Intrator,
Judah S. Jacobson:
Unsupervised Learning of Visual Structure.
Biologically Motivated Computer Vision 2002: 629-642 |
| 29 | EE | Shimon Cohen,
Nathan Intrator:
Forward and Backward Selection in Regression Hybrid Network.
Multiple Classifier Systems 2002: 98-107 |
| 28 | EE | Shimon Cohen,
Nathan Intrator:
Automatic model selection in a hybrid perceptron/radial network.
Information Fusion 3(4): 259-266 (2002) |
| 27 | 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) |
| 26 | 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 |
|---|
| 25 | EE | Shimon Cohen,
Nathan Intrator:
Automatic Model Selection in a Hybrid Perceptron/Radial Network.
Multiple Classifier Systems 2001: 440-454 |
| 24 | 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 |
|---|
| 23 | EE | Inna Stainvas,
Nathan Intrator:
Blurred Face Recognition via a Hybrid Network Architecture.
ICPR 2000: 2805-2808 |
| 22 | EE | Shimon Cohen,
Nathan Intrator:
A Hybrid Projection Based and Radial Basis Function Architecture.
Multiple Classifier Systems 2000: 147-156 |
| 21 | | Shimon Edelman,
Nathan Intrator:
A Productive, Systematic Framework for the Representation of Visual Structure.
NIPS 2000: 10-16 |
| 1999 |
|---|
| 20 | EE | Tal Steinherz,
Nathan Intrator,
Ehud Rivlin:
Skew Detection via Principal Components Analysis.
ICDAR 1999: 153-156 |
| 19 | EE | Tal Steinherz,
Ehud Rivlin,
Nathan Intrator:
Offline cursive script word recognition - a survey.
IJDAR 2(2-3): 90-110 (1999) |
| 18 | | Ran Avnimelech,
Nathan Intrator:
Boosted Mixture Of Experts: An Ensemble Learning Scheme.
Neural Computation 11(2): 483-497 (1999) |
| 17 | | Ran Avnimelech,
Nathan Intrator:
Boosting Regression Estimators.
Neural Computation 11(2): 499-520 (1999) |
| 1998 |
|---|
| 16 | EE | Yocheved Dotan,
Nathan Intrator:
Multimodality exploration by an unsupervised projection pursuit neural network.
IEEE Transactions on Neural Networks 9(3): 464-472 (1998) |
| 15 | | 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 |
|---|
| 14 | | Ariel Tankus,
Hezy Yeshurun,
Nathan Intrator:
Face Detection by Direct Convexity Estimation.
AVBPA 1997: 43-50 |
| 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.
NIPS 1997 |
| 12 | EE | Ariel Tankus,
Yehezkel Yeshurun,
Nathan Intrator:
Face detection by direct convexity estimation.
Pattern Recognition Letters 18(9): 913-922 (1997) |
| 1996 |
|---|
| 11 | EE | David Horn,
Ury Naftaly,
Nathan Intrator:
Large Ensemble Averaging.
Neural Networks: Tricks of the Trade 1996: 133-139 |
| 10 | EE | Nathan Intrator:
Making a Low-dimensional Representation Suitable for Diverse Tasks.
Connect. Sci. 8(2): 205-224 (1996) |
| 9 | EE | Yuval Raviv,
Nathan Intrator:
Bootstrapping with Noise: An Effective Regularization Technique.
Connect. Sci. 8(3): 355-372 (1996) |
| 8 | EE | Nathan Intrator,
Daniel Reisfeld,
Yehezkel Yeshurun:
Face recognition using a hybrid supervised/unsupervised neural network.
Pattern Recognition Letters 17(1): 67-76 (1996) |
| 1993 |
|---|
| 7 | EE | 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) |
| 6 | EE | Nathan Intrator:
Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks.
Neural Computation 5(3): 443-455 (1993) |
| 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,
Joshua 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 |
