Jacob Goldberger

Jonathan Berant, Ido Dagan, Jacob Goldberger: Learning Entailment Relations by Global Graph Structure Optimization. Computational Linguistics 38(1): 73-111 (2012)

Lev Faivishevsky, Jacob Goldberger: Dimensionality reduction based on non-parametric mutual information. Neurocomputing 80: 31-37 (2012)

Amir Alush, Jacob Goldberger: Ensemble Segmentation Using Efficient Integer Linear Programming. IEEE Trans. Pattern Anal. Mach. Intell. 34(10): 1966-1977 (2012)

Lev Faivishevsky, Jacob Goldberger: An unsupervised data projection that preserves the cluster structure. Pattern Recognition Letters 33(3): 256-262 (2012)

Jonathan Berant, Ido Dagan, Meni Adler, Jacob Goldberger: Efficient Tree-based Approximation for Entailment Graph Learning. ACL (1) 2012: 117-125

Eyal Baharad, Jacob Goldberger, Moshe Koppel, Shmuel Nitzan: Distilling the wisdom of crowds: weighted aggregation of decisions on multiple issues. Autonomous Agents and Multi-Agent Systems 22(1): 31-42 (2011)

Jacob Goldberger, Amir Leshem: Iterative Tomographic Solution of Integer Least Squares Problems With Applications to MIMO Detection. J. Sel. Topics Signal Processing 5(8): 1486-1496 (2011)

Jacob Goldberger, Amir Leshem: MIMO Detection for High-Order QAM Based on a Gaussian Tree Approximation. IEEE Transactions on Information Theory 57(8): 4973-4982 (2011)

Uri Avni, Hayit Greenspan, Eli Konen, Michal Sharon, Jacob Goldberger: X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words. IEEE Trans. Med. Imaging 30(3): 733-746 (2011)

Eyal Shnarch, Jacob Goldberger, Ido Dagan: A Probabilistic Modeling Framework for Lexical Entailment. ACL (Short Papers) 2011: 558-563

Jonathan Berant, Ido Dagan, Jacob Goldberger: Global Learning of Typed Entailment Rules. ACL 2011: 610-619

Uri Avni, Hayit Greenspan, Jacob Goldberger: X-ray Categorization and Spatial Localization of Chest Pathologies. MICCAI (3) 2011: 199-206

Jacob Goldberger, Tamir Tassa: Efficient Anonymizations with Enhanced Utility. Transactions on Data Privacy 3(2): 149-175 (2010)

Amir Alush, Hayit Greenspan, Jacob Goldberger: Automated and Interactive Lesion Detection and Segmentation in Uterine Cervix Images. IEEE Trans. Med. Imaging 29(2): 488-501 (2010)

Jonathan Berant, Ido Dagan, Jacob Goldberger: Global Learning of Focused Entailment Graphs. ACL 2010: 1220-1229

Lev Faivishevsky, Jacob Goldberger: Nonparametric Information Theoretic Clustering Algorithm. ICML 2010: 351-358

Uri Avni, Jacob Goldberger, Michal Sharon, Eli Konen, Hayit Greenspan: Chest x-ray characterization: from organ identification to pathology categorization. Multimedia Information Retrieval 2010: 155-164

Jacob Goldberger, Amir Leshem: MIMO Detection for High-Order QAM Based on a Gaussian Tree Approximation. CoRR abs/1001.5364 (2010)

Oren Freifeld, Hayit Greenspan, Jacob Goldberger: Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution. Int. J. Biomedical Imaging 2009 (2009)

Keren Erez, Jacob Goldberger, Ronen Sosnik, Moshe Shemesh, Susan Rothstein, Moshe Abeles: Analyzing movement trajectories using a Markov bi-clustering method. Journal of Computational Neuroscience 27(3): 543-552 (2009)

Uri Avni, Hayit Greenspan, Jacob Goldberger: Dense Simple Features for Fast and Accurate Medical X-Ray Annotation. CLEF (2) 2009: 239-246

Amir Leshem, Jacob Goldberger: MIMO decoding based on stochastic reconstruction from multiple projections. ICASSP 2009: 2457-2460

Jacob Goldberger, Tamir Tassa: Efficient Anonymizations with Enhanced Utility. ICDM Workshops 2009: 106-113

Uri Avni, Hayit Greenspan, Michal Sharon, Eli Konen, Jacob Goldberger: X-Ray Image Categorization and Retrieval Using Patch-Based Visual Words Representation. ISBI 2009: 350-353

Amir Alush, Hayit Greenspan, Jacob Goldberger: Lesion Detection and Segmentation in Uterine Cervix Images Using an Arc-Level MRF. ISBI 2009: 474-477

Jacob Goldberger, Amir Leshem: A Gaussian Tree Approximation for Integer Least-Squares. NIPS 2009: 638-645

Amir Leshem, Jacob Goldberger: MIMO decoding based on stochastic reconstruction from multiple projections. CoRR abs/0901.0252 (2009)

Moshe Butman, Jacob Goldberger: Face Recognition Using Classification-Based Linear Projections. EURASIP J. Adv. Sig. Proc. 2008 (2008)

Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss: Simplifying Mixture Models Using the Unscented Transform. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1496-1502 (2008)

Jacob Goldberger, Tamir Tassa: A hierarchical clustering algorithm based on the Hungarian method. Pattern Recognition Letters 29(11): 1632-1638 (2008)

Jacob Goldberger, Haggai Kfir: Serial Schedules for Belief-Propagation: Analysis of Convergence Time. IEEE Transactions on Information Theory 54(3): 1316-1319 (2008)

Idan Szpektor, Ido Dagan, Roy Bar-Haim, Jacob Goldberger: Contextual Preferences. ACL 2008: 683-691

Anat Almog, Jacob Goldberger, Yuval Shavitt: Unifying Unknown Nodes in the Internet Graph Using Semisupervised Spectral Clustering. ICDM Workshops 2008: 174-183

Lior Weizman, Jacob Goldberger: Detection of Urban Zones in Satellite Images using Visual Words. IGARSS (5) 2008: 160-163

Lev Faivishevsky, Jacob Goldberger: ICA based on a Smooth Estimation of the Differential Entropy. NIPS 2008: 433-440

Eran Sharon, Simon Litsyn, Jacob Goldberger: Efficient Serial Message-Passing Schedules for LDPC Decoding. IEEE Transactions on Information Theory 53(11): 4076-4091 (2007)

Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss: An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification. CVPR 2007

Omer Rotem, Hayit Greenspan, Jacob Goldberger: Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework. CVPR 2007

Lior Weizman, Jacob Goldberger: A classification-based linear projection of labeled hyperspectral data. IGARSS 2007: 3202-3205

Oren Freifeld, Hayit Greenspan, Jacob Goldberger: Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours. ISBI 2007: 596-599

Jacob Goldberger, Hayit Greenspan: Context-Based Segmentation of Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 463-468 (2006)

Jacob Goldberger, Shiri Gordon, Hayit Greenspan: Unsupervised image-set clustering using an information theoretic framework. IEEE Transactions on Image Processing 15(2): 449-458 (2006)

Hayit Greenspan, Amit Ruf, Jacob Goldberger: Constrained Gaussian mixture model framework for automatic segmentation of MR brain images. IEEE Trans. Med. Imaging 25(9): 1233-1245 (2006)

Jacob Goldberger: Reconstructing camera projection matrices from multiple pairwise overlapping views. Computer Vision and Image Understanding 97(3): 283-296 (2005)

Jacob Goldberger, Hagai Aronowitz: A distance measure between GMMs based on the unscented transform and its application to speaker recognition. INTERSPEECH 2005: 1985-1988

Amit Ruf, Hayit Greenspan, Jacob Goldberger: Tissue Classification of Noisy MR Brain Images Using Constrained GMM. MICCAI (2) 2005: 790-797

Jacob Goldberger, Sam T. Roweis: Hierarchical Clustering of a Mixture Model. NIPS 2004

Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinton, Ruslan Salakhutdinov: Neighbourhood Components Analysis. NIPS 2004

Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer: Probabilistic Space-Time Video Modeling via Piecewise GMM. IEEE Trans. Pattern Anal. Mach. Intell. 26(3): 384-396 (2003)

Shiri Gordon, Hayit Greenspan, Jacob Goldberger: Applying the Information Bottleneck Principle to Unsupervised Clustering of Discrete and Continuous Image Representations. ICCV 2003: 370-377

Jacob Goldberger, Shiri Gordon, Hayit Greenspan: An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures. ICCV 2003: 487-493

Jacob Goldberger, Hayit Greenspan, Shiri Gordon: Unsupervised Image Clustering Using the Information Bottleneck Method. DAGM-Symposium 2002: 158-165

Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer: A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing. ECCV (4) 2002: 461-475

Hayit Greenspan, Shiri Gordon, Jacob Goldberger: Probabilistic Models for Generating, Modelling and Matching Image Categories. ICPR (3) 2002: 970-973

Hayit Greenspan, Jacob Goldberger, Lenny Ridel: A Continuous Probabilistic Framework for Image Matching. Computer Vision and Image Understanding 84(3): 384-406 (2001)

Hayit Greenspan, Jacob Goldberger, Itay Eshet: Mixture model for face-color modeling and segmentation. Pattern Recognition Letters 22(14): 1525-1536 (2001)

Dennis Nilsson, Jacob Goldberger: Sequentially finding the N-Best List in Hidden Markov Models. IJCAI 2001: 1280-1285

Jacob Goldberger, David Burshtein, Horacio Franco: Segmental modeling using a continuous mixture of nonparametric models. IEEE Transactions on Speech and Audio Processing 7(3): 262-271 (1999)

Jacob Goldberger: Registration of Multiple Point Sets using the EM Algorithm. ICCV 1999: 730-736

Jacob Goldberger, David Burshtein: Scaled random trajectory segment models. Computer Speech & Language 12(1): 51-73 (1998)

Jacob Goldberger, David Burshtein, Horacio Franco: Segmental modeling using a continuous mixture of non-parametric models. EUROSPEECH 1997