Selected Publications

B. He, S. Shah, G. Wan, G. Arnold, C. Maung, H. Schweitzer.   Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction.   AAAI'19.

S. Shah, B. He, C. Maung, H. Schweitzer.   Computing Robust Principal Components by A* search.   IJAIT. 27(7), 2018.

K. Xu, C. Maung, H. Arai, H. Schweitzer.   Two-Stage Feature Selection with Unsupervised Second Stage.   IJAIT. 27(7), 2018.

K. Xu, T. Cao, S. Shah, C. Maung, and H. Schweitzer.   Cleaning the null space: A privacy mechanism for predictors.   AAAI'17.

H. Arai, C. Maung, K. Xu, and H. Schweitzer.   Unsupervised feature selection by heuristic search with provable bounds on suboptimality.   AAAI'16.

C. Maung and H. Schweitzer.   Improved greedy algorithms for sparse approximation of a matrix in terms of another matrix.   IEEE TKDE. 27(3):769--780, 2015.

H. Arai, C. Maung, and H. Schweitzer.   Optimal column subset selection by A-Star search.   AAAI'15.

C. Maung, and H. Schweitzer.   Pass-efficient unsupervised feature selection.   NIPS'13.

H. Schweitzer, R. Deng, and R. F. Anderson.   A dual bound algorithm for very fast and exact template-matching.   IEEE TPAMI. 33(3):459--470, 2011.

H. Schweitzer.   Occam algorithms for computing visual motion.   IEEE TPAMI. 17(11):1033--1042, 1995.

J. R. Bergen and H. Schweitzer.   A probabilistic algorithm for computing Hough transforms.   Journal of Algorithms. 12(4):639--656, 1991.

H. Schweitzer.   Learnable and nonlearnable visual concepts.   IEEE TPAMI. 12(5):459--466, May 1990.

L. G. Brown and H.Schweitzer.   Surface orientation from projective foreshortening of isotropic texture autocorrelation.   IEEE TPAMI. 12(6):584--588, 1990.

H.Schweitzer.   A necessary condition for learning from positive examples.   Machine Learning 5(1):101--103, 1990.