PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Jacob Goldberger

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Number of EPrints submitted by this user: 27

Tissue classification of noisy MR brain images using constrained GMM
Amit Ruf, Hayit Greenspan and Jacob Goldberger
In: MICCAI 2005, 26-30 Oct 2005, California, USA.

A distance measure between GMMs based on the unscented transform and its application to speaker recognition
Jacob Goldberger and Hagai Aronowitz
In: INTERSPEECH 2005, 4-8 Sep 2005, Lisbon, Portugal.

Hierarchical clustering of a mixture model
Jacob Goldberger and Sam Roweis
In: NIPS 2004, 13-18 Dec 2004, Vancover, Canada.

Neighbourhood components analysis
Jacob Goldberger, Sam Roweis, Geoff Hinton and Ruslan Salakhutdinov
In: NIPS 2004, 13-18 Dec 2004, Vancover, Canada.

Reconstructing camera projection matrices from multiple pairwise overlapping views
Jacob Goldberger
Computer Vision and Image Understanding Volume 97, Number 3, pp. 283-296, 2005.

Context-based Segmentation of Image Sequences
Jacob Goldberger and Hayit Greenspan
IEEE PAMI Volume 28, Number 3, pp. 463-468, 2006.

Combining region and edge cues for image segmentation in a probabilistic Gaussian mixture framework
Omer Rotem, Hayit Greenspan and Jacob Goldberger
In: CVPR 2007, 18-23 June 2007, Minneapolis, USA.

Combining region and edge cues for image segmentation in a probabilistic Gaussian mixture framework
Omer Rotem, Hayit Greenspan and Jacob Goldberger
In: CVPR 2007, 18-23 June 2007, Minneapolis, USA.

An optimal reduced representation of a MoG with applications to medical image database classification
Jacob Goldberger, Hayit Green and Jeremie Dreyfuss
In: CVPR 2007, 18-23 June 2007, Minneapolis, USA.

A Markov Clustering Method for Analyzing Movement Trajectories
Jacob Goldberger, Keren Erez and Moshe Abeles
In: MLSP 2007, 27-29 August 2007, Thessaloniki, Greece.

Fast semi-supervised discriminative component analysis
Jaakko Peltonen, Jacob Goldberger and Samuel Kaski
In: MLSP 2007, 27-29 August 2007, Thessaloniki, Greece.

A hierarchical clustering algorithm based on the Hungarian method
Jacob Goldberger and Tamir Tassa
Pattern Recognition Letters Volume 29, Number 11, pp. 1632-1638, 2008. ISSN 0167-8655

Simplifying mixture models using the Unscented Transform
Jacob Goldberger, Hayit Greenspan and Jeremie Dreyfuss
Transactions on Pattern Analysis and Machine Intelligence Volume 30, Number 8, pp. 1496-1502, 2008. ISSN 0162-8828

Face recognition using classification based linear projections
Moshe Butman and Jacob Goldberger
EURASIP Journal on Advances in Signal Processing Volume 8, Number 2, 2008. ISSN 1110-8657

ICA based on a Smooth Estimation of the Differential Entropy
Lev Faivishevsky and Jacob Goldberger
NIPS 2008.

A Gaussian Tree Approximation for Integer Least-Squares
Jacob Goldberger and Amir Leshem
In: NIPS 2009, 6-8 DEC 2009, Vancover, Canada.

Analyzing Movement Trajectories Using a Markov Bi-Clustering Method
Keren Erez, Jacob Goldberger, Ronen Sosnik, Moshe Shemesh and Moshe Abeles
Journal of Computational Neuroscience Volume 27, pp. 543-552, 2009. ISSN 0929-5313

X-ray Image Categorization and Retrieval Using Patch-based Visual Words Representation
Uri Avni, Hayit Greenspan, Michal Sharon, Eli Konen and Jacob Goldberger
In: International Symposium on Biomedical Imaging (ISBI), 2009, 3-6 July 2009, Boston, USA.

X-ray categorization and retrieval on the organ and pathology level, using patch-based visual words
Uri Avni, Hayit Greenspan, Eli Konen, Michal Sharoon and Jacob Goldberger
IEEE Trans. medical Imaging Volume 30, Number 3, pp. 733-746, 2011.

A nonparametric information theoretic clustering algorithm
Lev Faivishevsky and Jacob Goldberger
In: ICML 2010, 21 June - 24 June 2010, Israel.

Mutual information based dimensionality reduction with application to non-linear regression
Lev Faivishevsky and Jacob Goldberger
In: MLSP 2010, 29 Aug - 1 Sep 2010, Finland.

X-ray categorization and spatial localization of chest pathologies
Uri Avni, Hayit Greenspan and Jacob Goldberger
In: MICCAI 2011, 18-21 Sep 2011, Toronto, Canada.

An unsupervised data projection that preserves the cluster structure
Lev Faivishevsky and Jacob Goldberger
Pattern Recognition Letters Volume 33, Number 3, pp. 256-262, 2012.

Dimensionality reduction based on nonparametric mutual information
Lev Faivishevsky and Jacob Goldberger
Neurocomputing Volume 80, pp. 31-37, 2012.

Dimensionality reduction based on non-parametric mutual information
Lev Faivishevsky and Jacob Goldberger
Neurocomputing Volume 80, Number 23, pp. 31-37, 2012.

UNSUPERVISED FEATURE SELECTION BASED ON NON-PARAMETRIC MUTUAL INFORMATION
Lev Faivishevsky and Jacob Goldberger
In: MLSP 2012, 23-26 Sep 2012, Spain.

Ensemble Segmentation Using Efficient Integer Linear Programming
Amir Alush and Jacob Goldberger
PAMI Volume 34, Number 10, pp. 1966-1977, 2012.