Daphna Weinshall

Daphna Weinshall, Talia Tron, Abraham Peled, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

AAAI-90 Workshop on Qualitative Vision

Andrew Blake, Daphna Weinshall, William Lim, 1991, AI Mag..

New View Generation with a Bi-centric Camera

Daphna Weinshall, Mi-Suen Lee, Tomás Brodský, 2002, ECCV.

Complexity of Indexing: Efficient and Learnable Large Database Indexing

Michael Werman, Daphna Weinshall, 1996, ECCV.

Quantifying Hypomimia in Parkinson Patients Using a Depth Camera

Daphna Weinshall, Hagai Bergman, David Arkadir, 2015, MindCare.

Monaural Azimuth Localization Using Spectral Dynamics of Speech

Daphna Weinshall, Jörn Anemüller, Hendrik Kayser, 2011, INTERSPEECH.

Analyzing Auditory Neurons by Learning Distance Functions

Tomer Hertz, Daphna Weinshall, Israel Nelken, 2005, NIPS.

On the epipolar geometry of the Crossed-Slits projection

Daphna Weinshall, Tomás Pajdla, Doron Feldman, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Model-based invariants for 3D vision

Daphna Weinshall, 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Classification with Positive and Negative Equivalence Constraints: Theory, Computation and Human Experiments

Rubi Hammer, Tomer Hertz, Shaul Hochstein, 2007, BVAI.

Local shape approximation from shading

Daphna Weinshall, D. Weinshall, 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Blurred Images Lead to Bad Local Minima pdf

Daphna Weinshall, Gal Katzhendler, D. Weinshall, 2019, ArXiv.

Apparatus and method for displaying a target by means of image processing without three dimensional model

Daphna Weinshall, Mi-Suen Lee, 2001 .

Application Of Qualitative Depth And Shape From Stereo

Daphna Weinshall, D. Weinshall, 1988, [1988 Proceedings] Second International Conference on Computer Vision.

3D object recognition by indexing structural invariants from multiple views

Daphna Weinshall, Rakesh Mohan, Ramesh R. Sarukkai, 1993, 1993 (4th) International Conference on Computer Vision.

The story of a single cell: Peeking into the semantics of spikes

Daphna Weinshall, Thomas Serre, Israel Nelken, 2010, 2010 2nd International Workshop on Cognitive Information Processing.

Hierarchical Multi-Task Learning: a Cascade Approach Based on the Notion of Task Relatedness

Daphna Weinshall, Alon Zweig, 2013 .

Classification with Nonmetric Distances: Image Retrieval and Class Representation

Daphna Weinshall, David W. Jacobs, Yoram Gdalyahu, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

A Model of the Acquisition of Object Representations in Human 3D Visual Recognition

Daphna Weinshall, Heinrich H. Bülthoff, Tomaso Poggio, 1993 .

Distance Metric Between 3D Models and 2D Images for Recognition and Classification

Daphna Weinshall, Ronen Basri, 1996, IEEE Trans. Pattern Anal. Mach. Intell..

A computer vision system for on-screen item selection by finger pointing

Daphna Weinshall, Mi-Suen Lee, Eric Cohen-Solal, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Model-based Invariant Functions and Their Use for Recognition

Daphna Weinshall, 1993, Applications of Invariance in Computer Vision.

Labeling of Surface Discontinuities through the Integration of Vision Modules

Daphna Weinshall, Tomaso Poggio, Davi Geiger, 1989, The Sixteenth Conference of Electrical and Electronics Engineers in Israel,.

Perceptual grouping and segmentation by stochastic clustering

Daphna Weinshall, Noam Shental, Yoram Gdalyahu, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

The MIT vision machine

Daphna Weinshall, Heinrich H. Bülthoff, David Beymer, 1988 .

Biologically Motivated Audio-Visual Cue Integration for Object

Daphna Weinshall, Barbara Caputo, Francesco Orabona, 2008 .

Integrating information for visual recognition of three-dimensional (3-D) objects

Daphna Weinshall, Heinrich H. Bülthoff, Shimon Edelman, 1989 .

A Self-Organizing Multiple-View Representation of Three- Dimensional Objects

Daphna Weinshall, Shimon Edelman, 1989 .

On The Power of Curriculum Learning in Training Deep Networks

Daphna Weinshall, Guy Hacohen, D. Weinshall, 2019, ICML.

Dual Computation of Projective Shape and Camera Positions from Multiple Images

Daphna Weinshall, Stefan Carlsson, D. Weinshall, 1998, International Journal of Computer Vision.

Automated Facial Expressions Analysis in Schizophrenia: A Continuous Dynamic Approach

Daphna Weinshall, Talia Tron, Abraham Peled, 2015, MindCare.

Motion of disturbances: detection and tracking of multi-body non-rigid motion

Daphna Weinshall, Gilad Halevy, 1999, Machine Vision and Applications.

Integration of vision modules and labeling of surface discontinuities

Daphna Weinshall, Tomaso A. Poggio, Davi Geiger, 1989, IEEE Trans. Syst. Man Cybern..

Motion Segmentation Using an Occlusion Detector

Daphna Weinshall, Doron Feldman, 2006, WDV.

From Reference Frames to Reference Planes: Multi-View Parallax Geometry and Applications

Daphna Weinshall, P. Anandan, Michal Irani, 1998, ECCV.

All Neural Networks are Created Equal pdf

Daphna Weinshall, Guy Hacohen, D. Weinshall, 2019, ArXiv.

Minimal Decomposition of Model-Based Invariants

Daphna Weinshall, 2004, Journal of Mathematical Imaging and Vision.

Linear and incremental acquisition of invariant shape models from image sequences

Daphna Weinshall, Carlo Tomasi, D. Weinshall, 1993, 1993 (4th) International Conference on Computer Vision.

Implicit Media Tagging and Affect Prediction from RGB-D Video of Spontaneous Facial Expressions

Daphna Weinshall, Talia Tron, Daniel Hadar, 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

Detection and Identification of Rare Audiovisual Cues

Luc Van Gool, Daphna Weinshall, Jörn Anemller, 2012, Studies in Computational Intelligence.

Exploring Representation of 3D Objects for Visual Recognition

Daphna Weinshall, Heinrich H. Bülthoff, Shimon Edelman, 1989 .

A self-organizing multiple-view representation of 3D objects

Daphna Weinshall, Heinrich H. Bülthoff, Shimon Edelman, 2004, Biological Cybernetics.

Object Detection in Multi-view 3D Reconstruction Using Semantic and Geometric Context

Daphna Weinshall, A. Golbert, 2013 .

Efficient Learning of Relational Object Class Models

Daphna Weinshall, Aharon Bar-Hillel, D. Weinshall, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Passwords you'll never forget, but can't recall

Daphna Weinshall, Scott Kirkpatrick, D. Weinshall, 2004, CHI EA '04.

An Investigation into Virtual Representation of Real Places

Daphna Weinshall, Phil Turner, Claus B. Madsen, 2002 .

Enhancing image and video retrieval: learning via equivalence constraints

Daphna Weinshall, Noam Shental, Aharon Bar-Hillel, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Modeling Musical Influence with Topic Models

Daphna Weinshall, Gal Chechik, Uri Shalit, 2013, ICML.

Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research

Daphna Weinshall, Haim Dubossarsky, Eitan Grossman, 2018, EMNLP.

A Cheap System for Vehicle Speed Detection pdf

Daphna Weinshall, Chaim Ginzburg, Amit Raphael, 2015, ArXiv.

Stability and Likelihood of Views of Three Dimensional Objects

Michael Werman, Daphna Weinshall, Naftali Tishby, 1994, ECCV.

Exploiting Object Hierarchy: Combining Models from Different Category Levels

Daphna Weinshall, Alon Zweig, D. Weinshall, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images

Daphna Weinshall, Hagit Hel-Or, 1994, ECCV.

Qualitative shape form stereo

Daphna Weinshall, 1989 .

Flexible Syntactic Matching of Curves

Daphna Weinshall, Yoram Gdalyahu, 1998, ECCV.

Topic modeling of behavioral modes using sensor data

Daphna Weinshall, Yehezkel S. Resheff, Ran Nathan, 2016, International Journal of Data Science and Analytics.

Shortcuts in shape classification from two images

Daphna Weinshall, 1992, CVGIP Image Underst..

Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss pdf

Daphna Weinshall, Yehezkel S. Resheff, Amit Mandelbaum, 2017, ArXiv.

Model-based invariants for 3-D vision

Daphna Weinshall, 2005, International Journal of Computer Vision.

Multi-Modal Generative Adversarial Networks for Diverse Datasets

Daphna Weinshall, Matan Ben-Yosef, 2018 .

Generative Latent Implicit Conditional Optimization when Learning from Small Sample

Daphna Weinshall, Idan Azuri, 2020 .

Automatic hierarchical classification of silhouettes of 3D objects

Daphna Weinshall, Yoram Gdalyahu, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

The distortion of reality perception in schizophrenia patients, as measured in Virtual Reality

Daphna Weinshall, Avi Peled, Anna Sorkin, 2008, MMVR.

Extracting foreground masks towards object recognition

Amir Rosenfeld, Daphna Weinshall, D. Weinshall, 2011, 2011 International Conference on Computer Vision.

Flexible Syntactic Matching of Curves and Its Application to Automatic Hierarchical Classification of Silhouettes

Daphna Weinshall, Yoram Gdalyahu, D. Weinshall, 1999, IEEE Trans. Pattern Anal. Mach. Intell..

Computational Vision: A Critical Review

Daphna Weinshall, Shimon Edelman, 1989 .

Video synthesis made simple with the X-slits projection

Daphna Weinshall, Shmuel Peleg, Assaf Zomet, 2002, Workshop on Motion and Video Computing, 2002. Proceedings..

Motion of disturbances: detection and tracking of multi-body non-rigid motion

Daphna Weinshall, Gilad Halevy, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Realtime IBR with omnidirectional crossed-slits projection

Daphna Weinshall, Doron Feldman, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

From Ordinal to Euclidean Reconstruction with Partial Scene Calibration

Daphna Weinshall, P. Anandan, Michal Irani, 1998, SMILE.

Optimized Linear Imputation

Daphna Weinshall, Yehezkel S. Resheff, D. Weinshall, 2015, ICPRAM.

Topic models for automated motor analysis in schizophrenia patients

Daphna Weinshall, Yehezkel S. Resheff, Talia Tron, 2018, 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

Labeling edges with a linear network: An integration of low-level vision modules

Daphna Weinshall, Davi Geiger, 1988, Neural Networks.

Direct computation of qualitative 3D shape and motion invariants

Daphna Weinshall, D. Weinshall, 1990, [1990] Proceedings Third International Conference on Computer Vision.

Learning with Equivalence Constraints and the Relation to Multiclass Learning

Daphna Weinshall, Aharon Bar-Hillel, 2003, COLT.

Linear and Incremental Acquisition of Invariant Shape Models From Image Sequences

Daphna Weinshall, Carlo Tomasi, 1995, IEEE Trans. Pattern Anal. Mach. Intell..

Mechanisms of generalization in perceptual learning

Daphna Weinshall, Zili Liu, D. Weinshall, 1998, Vision Research.

Prosodic Analysis of Speech and the Underlying Mental State

Daphna Weinshall, Roi Kliper, Shirley Portuguese, 2015, MindCare.

Evidence for depression and schizophrenia in speech prosody

Daphna Weinshall, Yonatan Vaizman, Roi Kliper, 2019, ExLing.

Boosting margin based distance functions for clustering

Tomer Hertz, Daphna Weinshall, Aharon Bar-Hillel, 2004, ICML.

Classification in Non-Metric Spaces

Daphna Weinshall, David W. Jacobs, Yoram Gdalyahu, 1998, NIPS.

Stochastic image segmentation by typical cuts

Michael Werman, Daphna Weinshall, Yoram Gdalyahu, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Efficient Learning of Relational Object Class Models

Daphna Weinshall, Aharon Bar-Hillel, Tomer Hertz, 2005, ICCV.

Identification of Novel Classes in Object Class Recognition

Daphna Weinshall, Dagan Eshar, Alon Zweig, 2012, Detection and Identification of Rare Audiovisual Cues.

Mosaicing impossible stereo views

Yael Pritch, Daphna Weinshall, Shmuel Peleg, 2004, IS&T/SPIE Electronic Imaging.

Matrix factorization approach to behavioral mode analysis from acceleration data

Daphna Weinshall, Yehezkel S. Resheff, Ran Nathan, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Learning distance functions for image retrieval

Tomer Hertz, Daphna Weinshall, Aharon Bar-Hillel, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Condensing image databases when retrieval is based on non-metric distances

Daphna Weinshall, David W. Jacobs, Yoram Gdalyahu, 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets

Daphna Weinshall, Leshem Choshen, Guy Hacohen, 2019, ICML.

DIRAC: Detection and Identification of Rare Audio-Visual Events

Luc Van Gool, Misha Pavel, Daphna Weinshall, 2012, Detection and Identification of Rare Audiovisual Cues.

Novelty Detection in MultiClass Scenarios with Incomplete Set of Class Labels pdf

Daphna Weinshall, Nomi Vinokurov, D. Weinshall, 2016, ArXiv.

Michael Werman, Daphna Weinshall, M. Werman, 1995, IEEE Trans. Pattern Anal. Mach. Intell..

Qualitative depth from vertical and horizontal binocular disparities, in agreement with psychophysical evidence

Daphna Weinshall, D. Weinshall, 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

Self-Organization in Vision: Stochastic Clustering for Image Segmentation, Perceptual Grouping, and Image Database Organization

Michael Werman, Daphna Weinshall, Yoram Gdalyahu, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

Qualitative Depth from Stereo, with Applications

Daphna Weinshall, D. Weinshall, 1990, Comput. Vis. Graph. Image Process..

Differential category learning processes: The neural basis of comparison-based learning and induction

Rubi Hammer, Shaul Hochstein, Daphna Weinshall, 2010, NeuroImage.

Hidden Layers in Perceptual Learning

Daphna Weinshall, Gad Cohen, D. Weinshall, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Michael Werman, Daphna Weinshall, 1994, Proceedings of 12th International Conference on Pattern Recognition.

Using Bilateral Symmetry to Improve 3D Reconstruction from Image Sequences

Daphna Weinshall, Hagit Hel-Or, D. Weinshall, 1997, Comput. Vis. Image Underst..

Mosaicing New Views: The Crossed-Slits Projection

Daphna Weinshall, Shmuel Peleg, Assaf Zomet, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Daphna Weinshall, Thomas Serre, Imri Sofer, 2011 .

The Matching of Doubly Ambiguous Stereograms

Daphna Weinshall, D. Weinshall, 1991 .

Local shape approximation from shading

Daphna Weinshall, 2005, Journal of Mathematical Imaging and Vision.

Identifying Surprising Events in Video Using Bayesian Topic Models

Daphna Weinshall, Shmuel Peleg, Avishai Hendel, 2010, Detection and Identification of Rare Audiovisual Cues.

Optimal Linear Imputation with a Convergence Guarantee

Daphna Weinshall, Yehezkel S. Resheff, D. Weinshall, 2017, ICPRAM.

Distance-based Confidence Score for Neural Network Classifiers pdf

Daphna Weinshall, Amit Mandelbaum, D. Weinshall, 2017, ArXiv.

Online Learning in The Manifold of Low-Rank Matrices

Daphna Weinshall, Gal Chechik, Uri Shalit, 2010, NIPS.

Hierarchical Regularization Cascade for Joint Learning

Daphna Weinshall, Alon Zweig, D. Weinshall, 2013, ICML.

Online Learning in the Embedded Manifold of Low-rank Matrices

Daphna Weinshall, Gal Chechik, Uri Shalit, 2012, J. Mach. Learn. Res..

Quantifying Levodopa-Induced Dyskinesia Using Depth Camera

Daphna Weinshall, Hagai Bergman, David Arkadir, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Facial expressions and flat affect in schizophrenia, automatic analysis from depth camera data

Daphna Weinshall, Talia Tron, Abraham Peled, 2016, 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering pdf

Daphna Weinshall, Boaz Lerner, Guy Shiran, 2020, ArXiv.

Learning distance functions for image retrieval

Daphna Weinshall, Aharon Bar-Hillel, Tomer Hertz, 2004, CVPR 2004.

ARIMA-based motor anomaly detection in schizophrenia inpatients

Daphna Weinshall, Yehezkel S. Resheff, Talia Tron, 2018, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Duality of Multi-Point and Multi-Frame Geometry: Fundamental Shape Matrices and Tensors

Michael Werman, Daphna Weinshall, Amnon Shashua, 1996, ECCV.

Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample pdf

Daphna Weinshall, Itamar Winter, 2020, ArXiv.

Direct Computation of Qualitative 3-D Shape and Motion Invariants

Daphna Weinshall, 1991, IEEE Trans. Pattern Anal. Mach. Intell..

Learning distance function by coding similarity

Daphna Weinshall, Aharon Bar-Hillel, D. Weinshall, 2007, ICML '07.

Object class recognition by boosting a part-based model

Daphna Weinshall, Aharon Bar-Hillel, Tomer Hertz, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Review of computational models of stereopsis

Jitendra Malik, Daphna Weinshall, 1995 .

Learning a Mahalanobis Metric from Equivalence Constraints

Tomer Hertz, Daphna Weinshall, Noam Shental, 2005, J. Mach. Learn. Res..

Stability and Likelihood of Views of Three Dimensional Objects

Michael Werman, Daphna Weinshall, Naftali Tishby, 1994, Theoretical Foundations of Computer Vision.

Cognitive authentication schemes safe against spyware

Daphna Weinshall, D. Weinshall, 2006, 2006 IEEE Symposium on Security and Privacy (S&P'06).

Three Dimensional Symmetry from Two Dimensional Data

Daphna Weinshall, Hagit Hel-or, 1993 .

Gaussian Mixture Models with Equivalence Constraints

Daphna Weinshall, Noam Shental, Aharon Bar-Hillel, 2008 .

Identifying Surprising Events in Videos Using Bayesian Topic Models

Daphna Weinshall, Shmuel Peleg, Avishai Hendel, 2010, ACCV.

Qualitative Structure From Motion

Daphna Weinshall, 1990, NIPS.

LDA Topic Model with Soft Assignment of Descriptors to Words

Daphna Weinshall, Gal Levi, Dmitri Hanukaev, 2013, ICML.

Image Classification from Small Sample, with Distance Learning and Feature Selection

Daphna Weinshall, Lior Zamir, 2007, ISVC.

Learning Distance Functions using Equivalence Relations

Tomer Hertz, Daphna Weinshall, Noam Shental, 2003, ICML.

Direct computation of geometric features from motion disparities and shading

Daphna Weinshall, D. Weinshall, 1991, Optics & Photonics.

Distance metric between 3D models and 2D images for recognition and classification

Daphna Weinshall, Ronen Basri, R. Basri, 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Differential learning processes for categorization

Rubi Hammer, Shaul Hochstein, Daphna Weinshall, 2010 .

Learning from Small Data Through Sampling an Implicit Conditional Generative Latent Optimization Model pdf

Daphna Weinshall, Idan Azuri, D. Weinshall, 2020, ArXiv.

Multi-Modal Deep Clustering: Unsupervised Partitioning of Images pdf

Daphna Weinshall, Guy Shiran, 2019, ArXiv.

Beyond Novelty Detection: Incongruent Events, When General and Specific Classifiers Disagree

Daphna Weinshall, Hynek Hermansky, Holly Brügge Jimison, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images pdf

Daphna Weinshall, Matan Ben-Yosef, D. Weinshall, 2018, ArXiv.

Computing Gaussian Mixture Models with EM Using Equivalence Constraints

Tomer Hertz, Daphna Weinshall, Noam Shental, 2003, NIPS.

Motion Segmentation and Depth Ordering Using an Occlusion Detector

Daphna Weinshall, Doron Feldman, D. Weinshall, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Convergence Analysis of Over-parameterized Deep Linear Networks, and the Principal Components Bias pdf

Daphna Weinshall, Guy Hacohen, D. Weinshall, 2021, ArXiv.

Principal Components Bias in Deep Neural Networks

Daphna Weinshall, Guy Hacohen, 2021 .

More Is More - Narrowing the Generalization Gap by Adding Classification Heads pdf

Daphna Weinshall, Roee Cates, D. Weinshall, 2021, ArXiv.

Multi-Modal Deep Clustering: Unsupervised Partitioning of Images

Daphna Weinshall, Guy Shiran, D. Weinshall, 2019, 2020 25th International Conference on Pattern Recognition (ICPR).

The Grammar-Learning Trajectories of Neural Language Models pdf

Daphna Weinshall, Omri Abend, Guy Hacohen, 2021, Annual Meeting of the Association for Computational Linguistics.

Adjustment Learning and Relevant

Misha Pavel, Tomer Hertz, Daphna Weinshall, 2007 .

Disambiguation techniques for recognition in large databases and for under-constrained reconstruction

Michael Werman, Daphna Weinshall, 1995, Proceedings of International Symposium on Computer Vision - ISCV.

Improving the accuracy of the diagnosis of schizophrenia by means of virtual reality.

Daphna Weinshall, Avi Peled, Anna Sorkin, 2006, The American journal of psychiatry.

Distance Metric between 3 D Models and 2 D Image _ _ for Recognition and Classification D TIC

Daphna Weinshall, Ronen Basri, R. Basri, .

Superparamagnetic clustering of data: application to computer vision

Daphna Weinshall, Eytan Domany, Yoram Gdalyahu, 1999 .

Direct computation of 3-D shape and motion invariants

Daphna Weinshall, D. Weinshall, 1989, Annual Meeting Optical Society of America.

Learning Distance Functions with Product Space Boosting

Tomer Hertz, Daphna Weinshall, Noam Shental, 2004 .

Learning a Mahalanobis Metric with Side Information

Tomer Hertz, Daphna Weinshall, Noam Shental, 2004 .

Michael Werman, Daphna Weinshall, 1994 .

The shape of shading

Daphna Weinshall, D. Weinshall, 1990 .