Jacob Goldberger

	2009
28		Amir Leshem, Jacob Goldberger: MIMO decoding based on stochastic reconstruction from multiple projections CoRR abs/0901.0252: (2009)
	2008
27		Anat Almog, Jacob Goldberger, Yuval Shavitt: Unifying Unknown Nodes in the Internet Graph Using Semisupervised Spectral Clustering. ICDM Workshops 2008: 174-183
26		Lev Faivishevsky, Jacob Goldberger: ICA based on a Smooth Estimation of the Differential Entropy. NIPS 2008: 433-440
25		Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss: Simplifying Mixture Models Using the Unscented Transform. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1496-1502 (2008)
24		Jacob Goldberger, Haggai Kfir: Serial Schedules for Belief-Propagation: Analysis of Convergence Time. IEEE Transactions on Information Theory 54(3): 1316-1319 (2008)
23		Jacob Goldberger, Tamir Tassa: A hierarchical clustering algorithm based on the Hungarian method. Pattern Recognition Letters 29(11): 1632-1638 (2008)
	2007
22		Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss: An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification. CVPR 2007
21		Omer Rotem, Hayit Greenspan, Jacob Goldberger: Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework. CVPR 2007
20		Oren Freifeld, Hayit Greenspan, Jacob Goldberger: Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours. ISBI 2007: 596-599
19		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
18		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)
17		Jacob Goldberger, Hayit Greenspan: Context-Based Segmentation of Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 463-468 (2006)
16		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
15		Amit Ruf, Hayit Greenspan, Jacob Goldberger: Tissue Classification of Noisy MR Brain Images Using Constrained GMM. MICCAI (2) 2005: 790-797
14		Jacob Goldberger: Reconstructing camera projection matrices from multiple pairwise overlapping views. Computer Vision and Image Understanding 97(3): 283-296 (2005)
	2004
13		Jacob Goldberger, Sam T. Roweis: Hierarchical Clustering of a Mixture Model. NIPS 2004
12		Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinton, Ruslan Salakhutdinov: Neighbourhood Components Analysis. NIPS 2004
	2003
11		Shiri Gordon, Hayit Greenspan, Jacob Goldberger: Applying the Information Bottleneck Principle to Unsupervised Clustering of Discrete and Continuous Image Representations. ICCV 2003: 370-377
10		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
9		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
8		Jacob Goldberger, Hayit Greenspan, Shiri Gordon: Unsupervised Image Clustering Using the Information Bottleneck Method. DAGM-Symposium 2002: 158-165
7		Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer: A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing. ECCV (4) 2002: 461-475
6		Hayit Greenspan, Shiri Gordon, Jacob Goldberger: Probabilistic Models for Generating, Modelling and Matching Image Categories. ICPR (3) 2002: 970-973
	2001
5		Dennis Nilsson, Jacob Goldberger: Sequentially finding the N-Best List in Hidden Markov Models. IJCAI 2001: 1280-1285
4		Hayit Greenspan, Jacob Goldberger, Lenny Ridel: A Continuous Probabilistic Framework for Image Matching. Computer Vision and Image Understanding 84(3): 384-406 (2001)
3		Hayit Greenspan, Jacob Goldberger, Itay Eshet: Mixture model for face-color modeling and segmentation. Pattern Recognition Letters 22(14): 1525-1536 (2001)
	1999
2		Jacob Goldberger: Registration of Multiple Point Sets using the EM Algorithm. ICCV 1999: 730-736
	1998
1		Jacob Goldberger, David Burshtein: Scaled random trajectory segment models. Computer Speech & Language 12(1): 51-73 (1998)

Coauthor Index

1	Anat Almog	[27]
2	David Burshtein	[1]
3	Jeremie Dreyfuss	[22] [25]
4	Itay Eshet	[3]
5	Lev Faivishevsky	[26]
6	Oren Freifeld	[20]
7	Shiri Gordon	[6] [8] [10] [11] [16]
8	Hayit Greenspan	[3] [4] [6] [7] [8] [9] [10] [11] [15] [16] [17] [18] [20] [21] [22] [25]
9	Geoffrey E. Hinton	[12]
10	Haggai Kfir	[24]
11	Amir Leshem	[28]
12	Simon Litsyn	[19]
13	Arnaldo Mayer	[7] [9]
14	Dennis Nilsson	[5]
15	Lenny Ridel	[4]
16	Omer Rotem	[21]
17	Sam T. Roweis	[12] [13]
18	Amit Ruf	[15] [18]
19	Ruslan Salakhutdinov	[12]
20	Eran Sharon	[19]
21	Yuval Shavitt	[27]
22	Tamir Tassa	[23]

Colors in the list of coauthors