Haim Schweitzer

According to our database, Haim Schweitzer authored at least 64 papers between 1985 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Spectral pursuit for simultaneous sparse representation with accuracy guarantees.

Guihong Wan, Haim Schweitzer

Int. J. Data Sci. Anal., May, 2024

The art of centering without centering for robust principal component analysis.

Guihong Wan, Baokun He, Haim Schweitzer

Data Min. Knowl. Discov., 2024

Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract).

Boshen Yan, Guihong Wan, Haim Schweitzer, Zoltan Maliga, Sara Khattab, Kun-Hsing Yu, Peter K. Sorger, Yevgeniy R. Semenov

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract).

Guihong Wan, Wei Mao, Yevgeniy R. Semenov, Haim Schweitzer

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Graph Clustering Methods Derived from Column Subset Selection (Student Abstract).

Wei Mao, Guihong Wan, Haim Schweitzer

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality.

Guihong Wan, Meng Jiao, Xinglong Ju, Yu Zhang, Haim Schweitzer, Feng Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

A Fast Algorithm for Simultaneous Sparse Approximation.

Guihong Wan, Haim Schweitzer

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Heuristic Search for Approximating One Matrix in Terms of Another Matrix.

Guihong Wan, Haim Schweitzer

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Lookahead Algorithm for Robust Subspace Recovery.

Guihong Wan, Haim Schweitzer

Proceedings of the IEEE International Conference on Data Mining, 2021

Edge Sparsification for Graphs via Meta-Learning.

Guihong Wan, Haim Schweitzer

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

A New Robust Subspace Recovery Algorithm (Student Abstract).

Guihong Wan, Haim Schweitzer

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality.

Guihong Wan, Haim Schweitzer

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Fast Distance Metrics in Low-dimensional Space for Neighbor Search Problems.

Guihong Wan, Crystal Maung, Chenxu Zhang, Haim Schweitzer

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract).

Baokun He, Guihong Wan, Haim Schweitzer

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Bias Trick for Centered Robust Principal Component Analysis.

Baokun He, Guihong Wan, Haim Schweitzer

CoRR, 2019

Improving the Accuracy of Principal Component Analysis by the Maximum Entropy Method.

Guihong Wan, Crystal Maung, Haim Schweitzer

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction.

Baokun He, Swair Shah, Crystal Maung, Gordon Arnold, Guihong Wan, Haim Schweitzer

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Two-Stage Feature Selection with Unsupervised Second Stage.

Ke Xu, Crystal Maung, Hiromasa Arai, Haim Schweitzer

Int. J. Artif. Intell. Tools, 2018

Computing Robust Principal Components by A* Search.

Swair Shah, Baokun He, Crystal Maung, Haim Schweitzer

Int. J. Artif. Intell. Tools, 2018

Solving Generalized Column Subset Selection With Heuristic Search.

Swair Shah, Baokun He, Ke Xu, Crystal Maung, Haim Schweitzer

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Enhancing the Privacy of Predictors.

Ke Xu, Swair Shah, Tongyi Cao, Crystal Maung, Haim Schweitzer

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Cleaning the Null Space: A Privacy Mechanism for Predictors.

Ke Xu, Tongyi Cao, Swair Shah, Crystal Maung, Haim Schweitzer

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Weighted A* Algorithms for Unsupervised Feature Selection with Provable Bounds on Suboptimality.

Hiromasa Arai, Ke Xu, Crystal Maung, Haim Schweitzer

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Unsupervised Feature Selection by Heuristic Search with Provable Bounds on Suboptimality.

Hiromasa Arai, Crystal Maung, Ke Xu, Haim Schweitzer

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Improved Greedy Algorithms for Sparse Approximation of a Matrix in Terms of Another Matrix.

Crystal Maung, Haim Schweitzer

IEEE Trans. Knowl. Data Eng., 2015

Optimal Column Subset Selection by A-Star Search.

Hiromasa Arai, Crystal Maung, Haim Schweitzer

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

Pass-efficient unsupervised feature selection.

Crystal Maung, Haim Schweitzer

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2011

A Dual-Bound Algorithm for Very Fast and Exact Template Matching.

Haim Schweitzer, Rui A. Deng, Robert Finis Anderson

IEEE Trans. Pattern Anal. Mach. Intell., 2011

2009

Fixed Time Template Matching.

Robert Finis Anderson, Haim Schweitzer

Proceedings of the IEEE International Conference on Systems, 2009

A near optimal acceptance-rejection algorithm for exact cross-correlation search.

Haim Schweitzer, Robert Finis Anderson, Rui A. Deng

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2005

Feature Selection for Learning from Images.

Feng Wu, Haim Schweitzer

Proceedings of The 2005 International Conference on Computer Vision, 2005

Fast Selection of Linear Features in Image Data.

Feng Wu, Haim Schweitzer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

2004

Long-term learning of semantic grouping from relevance-feedback.

Tomohiro Yoshizawa, Haim Schweitzer

Proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2004

2002

Very Fast Template Matching.

Haim Schweitzer, J. W. Bell, Feng Wu

Proceedings of the Computer Vision, 2002

Computing Content-Plots for Video.

Haim Schweitzer

Proceedings of the Computer Vision, 2002

2001

Template Matching Approach to Content Based Image Indexing by Low Dimensional Euclidean Embedding.

Haim Schweitzer

Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

1999

Precise induction from statistical data.

Haim Schweitzer

J. Exp. Theor. Artif. Intell., 1999

Organizing image databases as visual-content search trees.

Haim Schweitzer

Image Vis. Comput., 1999

Utilizing Scatter for Pixel Subspace Selection.

Haim Schweitzer

Proceedings of the International Conference on Computer Vision, 1999

Optimal Eigenfeature Selection by Optimal Image Registration.

Haim Schweitzer

Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1998

Computational limitations of model-based recognition.

Haim Schweitzer, Sanjeev R. Kulkarni

Int. J. Intell. Syst., 1998

Utilizing Moment Invariants and Grobner Bases to Reason about Shapes.

Haim Schweitzer, Janell Straach

Comput. Intell., 1998

Indexing Images by Trees of Visual Content.

Haim Schweitzer

Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

Computing Ritz Approximations of Primary Images.

Haim Schweitzer

Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

1997

A Distributed Algorithm for Content Based Indexing of Images by Projections on Ritz Primary Images.

Haim Schweitzer

Data Min. Knowl. Discov., 1997

Classification and Reductio-ad-Absurdum Optimality Proofs.

Haim Schweitzer

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996

Structure from Multiple 2D Affine Correspondences without Camera Calibration.

Haim Schweitzer, Radha Krishnan

Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), 1996

1995

Occam Algorithms for Computing Visual Motion.

Haim Schweitzer

IEEE Trans. Pattern Anal. Mach. Intell., 1995

1993

A surface matching algorithm for two perspective views.

Haim Schweitzer

Proceedings of the Conference on Computer Vision and Pattern Recognition, 1993

1991

A Probabilistic Algorithm for Computing Hough Transforms.

James R. Bergen, Haim Schweitzer

J. Algorithms, 1991

1990

Learnable and Nonlearnable Visual Concepts.

Haim Shvaytser

IEEE Trans. Pattern Anal. Mach. Intell., 1990

Surface Orientation from Projective Foreshortening of Isotropic Texture Autocorrelation.

Lisa Gottesfeld Brown, Haim Shvaytser

IEEE Trans. Pattern Anal. Mach. Intell., 1990

A Necessary Condition for Learning from Positive Examples.

Haim Schweitzer

Mach. Learn., 1990

Towards a computational theory of model based vision and perception.

Haim Shvaytser

Proceedings of the Third International Conference on Computer Vision, 1990

Probabilities that Imply Certainties.

Haim Schweitzer

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1988

Representing Knowledge in Learning Systems by Pseudo Boolean Functions.

Haim Shvaytser

Proceedings of the 2nd Conference on Theoretical Aspects of Reasoning about Knowledge, 1988

Learnable And Non-learnable Visual Concepts.

Haim Shvaytser

Proceedings of the Second International Conference on Computer Vision, 1988

Detecting motion in out-of-register pictures.

Haim Shvaytser

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1988

Non-Learnable Classes of Boolean Formulae That Are Closer Under Variable Permutation.

Haim Schweitzer

Proceedings of the First Annual Workshop on Computational Learning Theory, 1988

1987

Representation of patterns of symbols by equations with applications to puzzle solving.

Haim Shvaytser, Shmuel Peleg

Pattern Recognit. Lett., 1987

Inversion of picture operators.

Haim Shvaytser, Shmuel Peleg

Pattern Recognit. Lett., 1987

1986

Mathematical models in image processing and pattern recognition (מודלים מתמטיים בעבוד תמונות וזהוי צורות.).

Haim Shvaytser

PhD thesis, 1986

1985

Noisy image restoration by cost function minimization.

Eli Harouche, Shmuel Peleg, Haim Shvaytser, Larry S. Davis

Pattern Recognit. Lett., 1985

Fuzzy and probability vectors as elements of a vector space.

Haim Shvaytser, Shmuel Peleg

Inf. Sci., 1985