Fuzzy and probability vectors as elements of a vector space. - Haim Shvaytser; Shmuel Peleg (Inf. Sci., 1985)

Noisy image restoration by cost function minimization. - Eli Harouche; Shmuel Peleg; Haim Shvaytser; Larry S. Davis (Pattern Recognit. Lett., 1985)

Mathematical models in image processing and pattern recognition (מודלים מתמטיים בעבוד תמונות וזהוי צורות.). - Haim Shvaytser (1986)

Inversion of picture operators. - Haim Shvaytser; Shmuel Peleg (Pattern Recognit. Lett., 1987)

Representation of patterns of symbols by equations with applications to puzzle solving. - Haim Shvaytser; Shmuel Peleg (Pattern Recognit. Lett., 1987)

Non-Learnable Classes of Boolean Formulae That Are Closer Under Variable Permutation. - Haim Schweitzer (COLT, 1988)

Detecting motion in out-of-register pictures. - Haim Shvaytser (CVPR, 1988)

Learnable And Non-learnable Visual Concepts. - Haim Shvaytser (ICCV, 1988)

Representing Knowledge in Learning Systems by Pseudo Boolean Functions. - Haim Shvaytser (TARK, 1988)

Probabilities that Imply Certainties. - Haim Schweitzer (AAAI, 1990)

Towards a computational theory of model based vision and perception. - Haim Shvaytser (ICCV, 1990)

A Necessary Condition for Learning from Positive Examples. - Haim Schweitzer (Mach. Learn., 1990)

Surface Orientation from Projective Foreshortening of Isotropic Texture Autocorrelation. - Lisa Gottesfeld Brown; Haim Shvaytser (IEEE Trans. Pattern Anal. Mach. Intell., 1990)

Learnable and Nonlearnable Visual Concepts. - Haim Shvaytser (IEEE Trans. Pattern Anal. Mach. Intell., 1990)

A Probabilistic Algorithm for Computing Hough Transforms. - James R. Bergen; Haim Schweitzer (J. Algorithms, 1991)

A surface matching algorithm for two perspective views. - Haim Schweitzer (CVPR, 1993)

Occam Algorithms for Computing Visual Motion. - Haim Schweitzer (IEEE Trans. Pattern Anal. Mach. Intell., 1995)

Structure from Multiple 2D Affine Correspondences without Camera Calibration. - Haim Schweitzer; Radha Krishnan (CVPR, 1996)

Classification and Reductio-ad-Absurdum Optimality Proofs. - Haim Schweitzer (AAAI/IAAI, 1997)

A Distributed Algorithm for Content Based Indexing of Images by Projections on Ritz Primary Images. - Haim Schweitzer (Data Min. Knowl. Discov., 1997)

Computing Ritz Approximations of Primary Images. - Haim Schweitzer (ICCV, 1998)

Indexing Images by Trees of Visual Content. - Haim Schweitzer (ICCV, 1998)

Utilizing Moment Invariants and Grobner Bases to Reason about Shapes. - Haim Schweitzer; Janell Straach (Comput. Intell., 1998)

Computational limitations of model-based recognition. - Haim Schweitzer; Sanjeev R. Kulkarni (Int. J. Intell. Syst., 1998)

Optimal Eigenfeature Selection by Optimal Image Registration. - Haim Schweitzer (CVPR, 1999)

Utilizing Scatter for Pixel Subspace Selection. - Haim Schweitzer (ICCV, 1999)

Organizing image databases as visual-content search trees. - Haim Schweitzer (Image Vis. Comput., 1999)

Precise induction from statistical data. - Haim Schweitzer (J. Exp. Theor. Artif. Intell., 1999)

Template Matching Approach to Content Based Image Indexing by Low Dimensional Euclidean Embedding. - Haim Schweitzer (ICCV, 2001)

Computing Content-Plots for Video. - Haim Schweitzer (ECCV (4), 2002)

Very Fast Template Matching. - Haim Schweitzer; J. W. Bell; Feng Wu (ECCV (4), 2002)

Long-term learning of semantic grouping from relevance-feedback. - Tomohiro Yoshizawa; Haim Schweitzer (Multimedia Information Retrieval, 2004)

Fast Selection of Linear Features in Image Data. - Feng Wu; Haim Schweitzer (CVPR Workshops, 2005)

Feature Selection for Learning from Images. - Feng Wu; Haim Schweitzer (VISION, 2005)

A near optimal acceptance-rejection algorithm for exact cross-correlation search. - Haim Schweitzer; Robert Finis Anderson; Rui A. Deng (ICCV, 2009)

Fixed Time Template Matching. - Robert Finis Anderson; Haim Schweitzer (SMC, 2009)

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)

Pass-efficient unsupervised feature selection. - Crystal Maung; Haim Schweitzer (NIPS, 2013)

Optimal Column Subset Selection by A-Star Search. - Hiromasa Arai; Crystal Maung; Haim Schweitzer (AAAI, 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)

Unsupervised Feature Selection by Heuristic Search with Provable Bounds on Suboptimality. - Hiromasa Arai; Crystal Maung; Ke Xu; Haim Schweitzer (AAAI, 2016)

Weighted A* Algorithms for Unsupervised Feature Selection with Provable Bounds on Suboptimality. - Hiromasa Arai; Ke Xu; Crystal Maung; Haim Schweitzer (AAAI, 2016)

Cleaning the Null Space: A Privacy Mechanism for Predictors. - Ke Xu; Tongyi Cao; Swair Shah; Crystal Maung; Haim Schweitzer (AAAI, 2017)

Enhancing the Privacy of Predictors. - Ke Xu; Swair Shah; Tongyi Cao; Crystal Maung; Haim Schweitzer (AAAI, 2017)

Solving Generalized Column Subset Selection With Heuristic Search. - Swair Shah; Baokun He; Ke Xu; Crystal Maung; Haim Schweitzer (AAAI, 2018)

Computing Robust Principal Components by A* Search. - Swair Shah; Baokun He; Crystal Maung; Haim Schweitzer (Int. J. Artif. Intell. Tools, 2018)

Two-Stage Feature Selection with Unsupervised Second Stage. - Ke Xu; Crystal Maung; Hiromasa Arai; Haim Schweitzer (Int. J. Artif. Intell. Tools, 2018)

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 (AAAI, 2019)

Improving the Accuracy of Principal Component Analysis by the Maximum Entropy Method. - Guihong Wan; Crystal Maung; Haim Schweitzer (ICTAI, 2019)

A Bias Trick for Centered Robust Principal Component Analysis. - Baokun He; Guihong Wan; Haim Schweitzer (CoRR, 2019)

A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract). - Baokun He; Guihong Wan; Haim Schweitzer (AAAI, 2020)

Fast Distance Metrics in Low-dimensional Space for Neighbor Search Problems. - Guihong Wan; Crystal Maung; Chenxu Zhang; Haim Schweitzer (ICDM, 2020)

Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality. - Guihong Wan; Haim Schweitzer (AAAI, 2021)

A New Robust Subspace Recovery Algorithm (Student Abstract). - Guihong Wan; Haim Schweitzer (AAAI, 2021)

Edge Sparsification for Graphs via Meta-Learning. - Guihong Wan; Haim Schweitzer (ICDE, 2021)

A Lookahead Algorithm for Robust Subspace Recovery. - Guihong Wan; Haim Schweitzer (ICDM, 2021)

Heuristic Search for Approximating One Matrix in Terms of Another Matrix. - Guihong Wan; Haim Schweitzer (IJCAI, 2021)

A Fast Algorithm for Simultaneous Sparse Approximation. - Guihong Wan; Haim Schweitzer (PAKDD (3), 2021)

Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality. - Guihong Wan; Meng Jiao; Xinglong Ju; Yu Zhang; Haim Schweitzer; Feng Liu (AAAI, 2023)

Graph Clustering Methods Derived from Column Subset Selection (Student Abstract). - Wei Mao; Guihong Wan; Haim Schweitzer (AAAI, 2024)

Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract). - Guihong Wan; Wei Mao; Yevgeniy R. Semenov; Haim Schweitzer (AAAI, 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 (AAAI, 2024)

The art of centering without centering for robust principal component analysis. - Guihong Wan; Baokun He; Haim Schweitzer (Data Min. Knowl. Discov., 2024)

Spectral pursuit for simultaneous sparse representation with accuracy guarantees. - Guihong Wan; Haim Schweitzer (Int. J. Data Sci. Anal., 2024)

Multi-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract). - Guihong Wan; Ninghui Hao; Crystal Maung; Haim Schweitzer; Chen Zhao 010; Kun-Hsing Yu; Yevgeniy R. Semenov (AAAI, 2025)