Jacob Goldberger

2009
26	EE	Amir Leshem, Jacob Goldberger: MIMO decoding based on stochastic reconstruction from multiple projections CoRR abs/0901.0252: (2009)
2008
25	EE	Anat Almog, Jacob Goldberger, Yuval Shavitt: Unifying Unknown Nodes in the Internet Graph Using Semisupervised Spectral Clustering. ICDM Workshops 2008: 174-183
24	EE	Lev Faivishevsky, Jacob Goldberger: ICA based on a Smooth Estimation of the Differential Entropy. NIPS 2008: 433-440
23	EE	Jacob Goldberger, Haggai Kfir: Serial Schedules for Belief-Propagation: Analysis of Convergence Time. IEEE Transactions on Information Theory 54(3): 1316-1319 (2008)
22	EE	Jacob Goldberger, Tamir Tassa: A hierarchical clustering algorithm based on the Hungarian method. Pattern Recognition Letters 29(11): 1632-1638 (2008)
2007
21	EE	Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss: An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification. CVPR 2007
20	EE	Omer Rotem, Hayit Greenspan, Jacob Goldberger: Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework. CVPR 2007
19	EE	Oren Freifeld, Hayit Greenspan, Jacob Goldberger: Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours. ISBI 2007: 596-599
18	EE	Eran Sharon, Simon Litsyn, Jacob Goldberger: Efficient Serial Message-Passing Schedules for LDPC Decoding. IEEE Transactions on Information Theory 53(11): 4076-4091 (2007)
2006
17	EE	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)
16	EE	Jacob Goldberger, Hayit Greenspan: Context-Based Segmentation of Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 463-468 (2006)
15	EE	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)
2005
14	EE	Amit Ruf, Hayit Greenspan, Jacob Goldberger: Tissue Classification of Noisy MR Brain Images Using Constrained GMM. MICCAI (2) 2005: 790-797
13	EE	Jacob Goldberger: Reconstructing camera projection matrices from multiple pairwise overlapping views. Computer Vision and Image Understanding 97(3): 283-296 (2005)
2004
12	EE	Jacob Goldberger, Sam T. Roweis: Hierarchical Clustering of a Mixture Model. NIPS 2004
11	EE	Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinton, Ruslan Salakhutdinov: Neighbourhood Components Analysis. NIPS 2004
2003
10	EE	Shiri Gordon, Hayit Greenspan, Jacob Goldberger: Applying the Information Bottleneck Principle to Unsupervised Clustering of Discrete and Continuous Image Representations. ICCV 2003: 370-377
9	EE	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
8	EE	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)
2002
7	EE	Jacob Goldberger, Hayit Greenspan, Shiri Gordon: Unsupervised Image Clustering Using the Information Bottleneck Method. DAGM-Symposium 2002: 158-165
6	EE	Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer: A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing. ECCV (4) 2002: 461-475
5	EE	Hayit Greenspan, Shiri Gordon, Jacob Goldberger: Probabilistic Models for Generating, Modelling and Matching Image Categories. ICPR (3) 2002: 970-973
2001
4		Dennis Nilsson, Jacob Goldberger: Sequentially finding the N-Best List in Hidden Markov Models. IJCAI 2001: 1280-1285
3	EE	Hayit Greenspan, Jacob Goldberger, Lenny Ridel: A Continuous Probabilistic Framework for Image Matching. Computer Vision and Image Understanding 84(3): 384-406 (2001)
2	EE	Hayit Greenspan, Jacob Goldberger, Itay Eshet: Mixture model for face-color modeling and segmentation. Pattern Recognition Letters 22(14): 1525-1536 (2001)
1999
1	EE	Jacob Goldberger: Registration of Multiple Point Sets using the EM Algorithm. ICCV 1999: 730-736

Coauthor Index

1	Anat Almog	[25]
2	Jeremie Dreyfuss	[21]
3	Itay Eshet	[2]
4	Lev Faivishevsky	[24]
5	Oren Freifeld	[19]
6	Shiri Gordon	[5] [7] [9] [10] [15]
7	Hayit Greenspan	[2] [3] [5] [6] [7] [8] [9] [10] [14] [15] [16] [17] [19] [20] [21]
8	Geoffrey E. Hinton	[11]
9	Haggai Kfir	[23]
10	Amir Leshem	[26]
11	Simon Litsyn	[18]
12	Arnaldo Mayer	[6] [8]
13	Dennis Nilsson	[4]
14	Lenny Ridel	[3]
15	Omer Rotem	[20]
16	Sam T. Roweis	[11] [12]
17	Amit Ruf	[14] [17]
18	Ruslan Salakhutdinov	[11]
19	Eran Sharon	[18]
20	Yuval Shavitt	[25]
21	Tamir Tassa	[22]

Colors in the list of coauthors