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Nathan Intrator
2010 – today
- 2012
[j28]Nimrod Bar-Yaakov, Zehava Grossman, Nathan Intrator: Using Iterative Ridge Regression to Explore Associations Between Conditioned Variables. Journal of Computational Biology 19(5): 504-518 (2012)- 2011
- [j27]Sivan Kinreich, Nathan Intrator, Talma Hendler: Functional Cliques in the Amygdala and Related Brain Networks Driven by Fear Assessment Acquired During Movie Viewing. Brain Connectivity 1(6): 484-495 (2011)
- [j26]David Hadas, Galit Yovel, Nathan Intrator: Using unsupervised incremental learning to cope with gradual concept drift. Connect. Sci. 23(1): 65-83 (2011)
- [c28]Yehudit Hasson-Meir, Andrey Zhdanov, Talma Hendler, Nathan Intrator: Inference of Brain Mental States from Spatio-temporal Analysis of EEG Single Trials. BIOSIGNALS 2011: 59-66
- [c27]Sasha Apartsin, Leon N. Cooper, Nathan Intrator: Biosonar-inspired Source Localization in Low SNR. BIOSIGNALS 2011: 399-404
- [c26]Shahar Jamshy, Omri Perez, Yehezkel Yeshurun, Talma Hendler, Nathan Intrator: Searchlight Based Feature Extraction. MLINI 2011: 17-25
- [c25]Sivan Kinreich, Ilana Podlipsky, Nathan Intrator, Talma Hendler: Categorized EEG Neurofeedback Performance Unveils Simultaneous fMRI Deep Brain Activation. MLINI 2011: 108-115
2000 – 2009
- 2009
- [j25]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
- [j24]Kio Kim, Nicola Neretti, Nathan Intrator: MAP fusion method for superresolution of images with locally varying pixel quality. Int. J. Imaging Systems and Technology 18(4): 242-250 (2008)
- [c24]Guy Amit, Jonathan Lessick, Noam Gavriely, Nathan Intrator: Acoustic Indices of Cardiac Functionality. BIOSIGNALS (2) 2008: 77-83
- 2007
- [c23]Omer Berkman, Nathan Intrator: Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data. MCS 2007: 479-489
- [c22]Terry Windeatt, Matthew Prior, Niv Effron, Nathan Intrator: Ensemble-based Feature Selection Criteria. MLDM Posters 2007: 168-182
- 2006
- [c21]Kio Kim, Nicola Neretti, Nathan Intrator: Video Enhancement for Underwater Exploration Using Forward Looking Sonar. ACIVS 2006: 554-563
- 2005
- [j23]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)
- [c20]Ofer Pasternak, Nir A. Sochen, Nathan Intrator, Yaniv Assaf: Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI. NIPS 2005
- 2004
- [j22]Shimon Cohen, Nathan Intrator: On Different Model Selection Criteria In A Forward And Backward Regression Hybrid Network. IJPRAI 18(5): 847-865 (2004)
- 2003
- [j21]Shimon Edelman, Nathan Intrator: Towards structural systematicity in distributed, statically bound visual representations. Cognitive Science 27(1): 73-109 (2003)
- [j20]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)
- [j19]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)
- [c19]Shimon Cohen, Nathan Intrator: Ensemble of hybrid networks with strong regularization. ESANN 2003: 337-342
- [c18]Shimon Cohen, Nathan Intrator: A Study of Ensemble of Hybrid Networks with Strong Regularization. Multiple Classifier Systems 2003: 227-235
- 2002
- [j18]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)
- [j17]Shimon Cohen, Nathan Intrator: Automatic model selection in a hybrid perceptron/radial network. Information Fusion 3(4): 259-266 (2002)
- [j16]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)
- [c17]Shimon Edelman, Nathan Intrator, Judah S. Jacobson: Unsupervised Learning of Visual Structure. Biologically Motivated Computer Vision 2002: 629-642
- [c16]David S. Doermann, Nathan Intrator, Ehud Rivlin, Tal Steinherz: Hidden loop recovery for handwriting recognition. IWFHR 2002: 375-380
- [c15]Shimon Cohen, Nathan Intrator: Forward and Backward Selection in Regression Hybrid Network. Multiple Classifier Systems 2002: 98-107
- 2001
- [c14]Shimon Cohen, Nathan Intrator: Automatic Model Selection in a Hybrid Perceptron/Radial Network. Multiple Classifier Systems 2001: 440-454
- [c13]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
- [c12]Inna Stainvas, Nathan Intrator: Blurred Face Recognition via a Hybrid Network Architecture. ICPR 2000: 2805-2808
- [c11]Shimon Cohen, Nathan Intrator: A Hybrid Projection Based and Radial Basis Function Architecture. Multiple Classifier Systems 2000: 147-156
- [c10]Shimon Edelman, Nathan Intrator: A Productive, Systematic Framework for the Representation of Visual Structure. NIPS 2000: 10-16
1990 – 1999
- 1999
- [j15]Tal Steinherz, Ehud Rivlin, Nathan Intrator: Offline cursive script word recognition - a survey. IJDAR 2(2-3): 90-110 (1999)
- [j14]Ran Avnimelech, Nathan Intrator: Boosted Mixture Of Experts: An Ensemble Learning Scheme. Neural Computation 11(2): 483-497 (1999)
- [j13]Ran Avnimelech, Nathan Intrator: Boosting Regression Estimators. Neural Computation 11(2): 499-520 (1999)
- [c9]Tal Steinherz, Nathan Intrator, Ehud Rivlin: Skew Detection via Principal Components Analysis. ICDAR 1999: 153-156
- 1998
- [j12]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)
- [j11]Yocheved Dotan, Nathan Intrator: Multimodality exploration by an unsupervised projection pursuit neural network. IEEE Transactions on Neural Networks 9(3): 464-472 (1998)
- [j10]Yair Shimshoni, Nathan Intrator: Classification of seismic signals by integrating ensembles of neural networks. IEEE Transactions on Signal Processing 46(5): 1194-1201 (1998)
- [j9]Q. Q. Huynh, Leon N. Cooper, Nathan Intrator, Harel Z. Shouval: Classification of underwater mammals using feature extraction based on time-frequency analysis and BCM theory. IEEE Transactions on Signal Processing 46(5): 1202-1207 (1998)
- 1997
- [j8]Ariel Tankus, Yehezkel Yeshurun, Nathan Intrator: Face detection by direct convexity estimation. Pattern Recognition Letters 18(9): 913-922 (1997)
- [c8]Ariel Tankus, Hezy Yeshurun, Nathan Intrator: Face Detection by Direct Convexity Estimation. AVBPA 1997: 43-50
- [c7]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
- 1996
- [j7]Nathan Intrator: Making a Low-dimensional Representation Suitable for Diverse Tasks. Connect. Sci. 8(2): 205-224 (1996)
- [j6]Yuval Raviv, Nathan Intrator: Bootstrapping with Noise: An Effective Regularization Technique. Connect. Sci. 8(3): 355-372 (1996)
- [j5]Nathan Intrator, Daniel Reisfeld, Yehezkel Yeshurun: Face recognition using a hybrid supervised/unsupervised neural network. Pattern Recognition Letters 17(1): 67-76 (1996)
- [c6]David Horn, Ury Naftaly, Nathan Intrator: Large Ensemble Averaging. Neural Networks: Tricks of the Trade 1996: 133-139
- 1993
- [j4]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)
- [j3]Nathan Intrator: Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks. Neural Computation 5(3): 443-455 (1993)
- 1992
- [j2]Nathan Intrator: Feature Extraction Using an Unsupervised Neural Network. Neural Computation 4(1): 98-107 (1992)
- [j1]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)
- [c5]Gary Tajchman, Nathan Intrator: Phonetic classification of timit segments preprocessed with lyon's cochlear model using a supervised/unsupervised hybrid neural network. ICSLP 1992
- [c4]Nathan Intrator: On the Use of Projection Pursuit Constraints for Training Neural Networks. NIPS 1992: 3-10
- 1991
- [c3]Nathan Intrator, Joshua I. Gold, Heinrich H. Bülthoff, Shimon Edelman: 3D Object Recognition Using Unsupervised Feature Extraction. NIPS 1991: 460-467
- 1990
- [c2]
1980 – 1989
- 1989
- [c1]
Coauthor Index
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last updated on 2013-04-25 21:46 CEST by the dblp team