Haim Schweitzer

59 papers A* 31B 4Journal 16Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Multi-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract). AAAI Guihong Wan, Ninghui Hao, Crystal Maung, Haim Schweitzer, Chen Zhao, Kun-Hsing Yu, Yevgeniy R. Semenov
2024	A*	`conf`	Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract). AAAI Guihong Wan, Wei Mao, Yevgeniy R. Semenov, Haim Schweitzer
2024	A*	`conf`	Graph Clustering Methods Derived from Column Subset Selection (Student Abstract). AAAI Wei Mao, Guihong Wan, Haim Schweitzer
2024	A*	`conf`	Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract). AAAI Boshen Yan, Guihong Wan, Haim Schweitzer, Zoltan Maliga, Sara Khattab, Kun-Hsing Yu, Peter K. Sorger, Yevgeniy R. Semenov
2024	J	`jnl`	Spectral pursuit for simultaneous sparse representation with accuracy guarantees. Int. J. Data Sci. Anal. Guihong Wan, Haim Schweitzer
2024	J	`jnl`	The art of centering without centering for robust principal component analysis. Data Min. Knowl. Discov. Guihong Wan, Baokun He, Haim Schweitzer
2023	A*	`conf`	Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality. AAAI Guihong Wan, Meng Jiao, Xinglong Ju, Yu Zhang, Haim Schweitzer, Feng Liu
2021	—	`conf`	A Fast Algorithm for Simultaneous Sparse Approximation. PAKDD (3) Guihong Wan, Haim Schweitzer
2021	A*	`conf`	A Lookahead Algorithm for Robust Subspace Recovery. ICDM Guihong Wan, Haim Schweitzer
2021	A*	`conf`	A New Robust Subspace Recovery Algorithm (Student Abstract). AAAI Guihong Wan, Haim Schweitzer
2021	A*	`conf`	Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality. AAAI Guihong Wan, Haim Schweitzer
2021	A*	`conf`	Edge Sparsification for Graphs via Meta-Learning. ICDE Guihong Wan, Haim Schweitzer
2021	A*	`conf`	Heuristic Search for Approximating One Matrix in Terms of Another Matrix. IJCAI Guihong Wan, Haim Schweitzer
2020	A*	`conf`	A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract). AAAI Baokun He, Guihong Wan, Haim Schweitzer
2020	A*	`conf`	Fast Distance Metrics in Low-dimensional Space for Neighbor Search Problems. ICDM Guihong Wan, Crystal Maung, Chenxu Zhang, Haim Schweitzer
2019	J	`jnl`	A Bias Trick for Centered Robust Principal Component Analysis. CoRR Baokun He, Guihong Wan, Haim Schweitzer
2019	A*	`conf`	Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction. AAAI Baokun He, Swair Shah, Crystal Maung, Gordon Arnold, Guihong Wan, Haim Schweitzer
2019	B	`conf`	Improving the Accuracy of Principal Component Analysis by the Maximum Entropy Method. ICTAI Guihong Wan, Crystal Maung, Haim Schweitzer
2019	J	`jnl`	Improving the Accuracy of Principal Component Analysis by the Maximum Entropy Method. CoRR Guihong Wan, Crystal Maung, Haim Schweitzer
2018	J	`jnl`	Computing Robust Principal Components by A* Search. Int. J. Artif. Intell. Tools Swair Shah, Baokun He, Crystal Maung, Haim Schweitzer
2018	A*	`conf`	Solving Generalized Column Subset Selection With Heuristic Search. AAAI Swair Shah, Baokun He, Ke Xu, Crystal Maung, Haim Schweitzer
2018	J	`jnl`	Two-Stage Feature Selection with Unsupervised Second Stage. Int. J. Artif. Intell. Tools Ke Xu, Crystal Maung, Hiromasa Arai, Haim Schweitzer
2017	A*	`conf`	Cleaning the Null Space: A Privacy Mechanism for Predictors. AAAI Ke Xu, Tongyi Cao, Swair Shah, Crystal Maung, Haim Schweitzer
2017	B	`conf`	Computing Robust Principal Components by A* Search. ICTAI Swair Shah, Baokun He, Crystal Maung, Haim Schweitzer
2017	A*	`conf`	Enhancing the Privacy of Predictors. AAAI Ke Xu, Swair Shah, Tongyi Cao, Crystal Maung, Haim Schweitzer
2017	B	`conf`	Two-Stage Feature Selection with Unsupervised Second Stage. ICTAI Ke Xu, Hiromasa Arai, Crystal Maung, Haim Schweitzer
2016	A*	`conf`	Unsupervised Feature Selection by Heuristic Search with Provable Bounds on Suboptimality. AAAI Hiromasa Arai, Crystal Maung, Ke Xu, Haim Schweitzer
2016	A*	`conf`	Weighted A* Algorithms for Unsupervised Feature Selection with Provable Bounds on Suboptimality. AAAI Hiromasa Arai, Ke Xu, Crystal Maung, Haim Schweitzer
2015	J	`jnl`	Improved Greedy Algorithms for Sparse Approximation of a Matrix in Terms of Another Matrix. IEEE Trans. Knowl. Data Eng. Crystal Maung, Haim Schweitzer
2015	A*	`conf`	Optimal Column Subset Selection by A-Star Search. AAAI Hiromasa Arai, Crystal Maung, Haim Schweitzer
2013	—	`conf`	Pass-efficient unsupervised feature selection. NIPS Crystal Maung, Haim Schweitzer
2011	J	`jnl`	A Dual-Bound Algorithm for Very Fast and Exact Template Matching. IEEE Trans. Pattern Anal. Mach. Intell. Haim Schweitzer, Rui A. Deng, Robert Finis Anderson
2009	A*	`conf`	A near optimal acceptance-rejection algorithm for exact cross-correlation search. ICCV Haim Schweitzer, Robert Finis Anderson, Rui A. Deng
2009	B	`conf`	Fixed Time Template Matching. SMC Robert Finis Anderson, Haim Schweitzer
2005	—	`conf`	Fast Selection of Linear Features in Image Data. CVPR Workshops Feng Wu, Haim Schweitzer
2005	—	`conf`	Feature Selection for Learning from Images. VISION Feng Wu, Haim Schweitzer
2004	—	`conf`	Long-term learning of semantic grouping from relevance-feedback. Multimedia Information Retrieval Tomohiro Yoshizawa, Haim Schweitzer
2002	—	`conf`	Computing Content-Plots for Video. ECCV (4) Haim Schweitzer
2002	—	`conf`	Very Fast Template Matching. ECCV (4) Haim Schweitzer, J. W. Bell, Feng Wu
2001	A*	`conf`	Template Matching Approach to Content Based Image Indexing by Low Dimensional Euclidean Embedding. ICCV Haim Schweitzer
1999	A*	`conf`	Optimal Eigenfeature Selection by Optimal Image Registration. CVPR Haim Schweitzer
1999	J	`jnl`	Organizing image databases as visual-content search trees. Image Vis. Comput. Haim Schweitzer
1999	J	`jnl`	Precise induction from statistical data. J. Exp. Theor. Artif. Intell. Haim Schweitzer
1999	A*	`conf`	Utilizing Scatter for Pixel Subspace Selection. ICCV Haim Schweitzer
1998	J	`jnl`	Computational limitations of model-based recognition. Int. J. Intell. Syst. Haim Schweitzer, Sanjeev R. Kulkarni
1998	A*	`conf`	Computing Ritz Approximations of Primary Images. ICCV Haim Schweitzer
1998	A*	`conf`	Indexing Images by Trees of Visual Content. ICCV Haim Schweitzer
1998	J	`jnl`	Utilizing Moment Invariants and Grobner Bases to Reason about Shapes. Comput. Intell. Haim Schweitzer, Janell Straach
1997	J	`jnl`	A Distributed Algorithm for Content Based Indexing of Images by Projections on Ritz Primary Images. Data Min. Knowl. Discov. Haim Schweitzer
1997	—	`conf`	Classification and Reductio-ad-Absurdum Optimality Proofs. AAAI/IAAI Haim Schweitzer
1996	A*	`conf`	Structure from Multiple 2D Affine Correspondences without Camera Calibration. CVPR Haim Schweitzer, Radha Krishnan
1995	J	`jnl`	Occam Algorithms for Computing Visual Motion. IEEE Trans. Pattern Anal. Mach. Intell. Haim Schweitzer
1995	A*	`conf`	Utilizing Moment Invariants and Gröbner Bases to Reason About Shapes. IJCAI (1) Haim Schweitzer, Janell Straach
1993	A*	`conf`	A surface matching algorithm for two perspective views. CVPR Haim Schweitzer
1993	A*	`conf`	Occam algorithms for computing visual motion. ICCV Haim Schweitzer
1991	J	`jnl`	A Probabilistic Algorithm for Computing Hough Transforms. J. Algorithms James R. Bergen, Haim Schweitzer
1990	J	`jnl`	A Necessary Condition for Learning from Positive Examples. Mach. Learn. Haim Schweitzer
1990	A*	`conf`	Probabilities that Imply Certainties. AAAI Haim Schweitzer
1988	A*	`conf`	Non-Learnable Classes of Boolean Formulae That Are Closer Under Variable Permutation. COLT Haim Schweitzer