Very fast template matching H Schweitzer, JW Bell, F Wu European Conference on Computer Vision, 358-372, 2002 | 192 | 2002 |
Surface orientation from projective foreshortening of isotropic texture autocorrelation LG Brown, H Shvaytser IEEE Transactions on Pattern Analysis and Machine Intelligence 12 (6), 584-588, 1990 | 131 | 1990 |
A probabilistic algorithm for computing Hough transforms JR Bergen, H Shvaytser Journal of algorithms 12 (4), 639-656, 1991 | 113 | 1991 |
Unsupervised feature selection by heuristic search with provable bounds on suboptimality H Arai, C Maung, K Xu, H Schweitzer Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 54 | 2016 |
Inversion of picture operators H Shvayster, S Peleg Pattern Recognition Letters 5 (1), 49-61, 1987 | 49 | 1987 |
A dual-bound algorithm for very fast and exact template matching H Schweitzer, R Deng, RF Anderson IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (3), 459-470, 2010 | 35 | 2010 |
Learnable and nonlearnable visual concepts H Shvaytser IEEE Transactions on Pattern Analysis and Machine Intelligence 12 (5), 459-466, 1990 | 34 | 1990 |
Occam algorithms for computing visual motion HS Schweitzer IEEE Transactions on pattern analysis and machine intelligence 17 (11), 1033 …, 1995 | 31 | 1995 |
Optimal column subset selection by A-Star search H Arai, C Maung, H Schweitzer Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 30 | 2015 |
Long-term learning of semantic grouping from relevance-feedback T Yoshizawa, H Schweitzer Proceedings of the 6th ACM SIGMM international workshop on Multimedia …, 2004 | 30 | 2004 |
Cleaning the null space: A privacy mechanism for predictors K Xu, T Cao, S Shah, C Maung, H Schweitzer Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 29 | 2017 |
Pass-efficient unsupervised feature selection C Maung, H Schweitzer Advances in Neural Information Processing Systems 26, 2013 | 28 | 2013 |
Optimal eigenfeature selection by optimal image registration H Schweitzer Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and …, 1999 | 25 | 1999 |
A necessary condition for learning from positive examples H Shvaytser Machine Learning 5, 101-113, 1990 | 25 | 1990 |
Pictures as elements in a vector space H Shvayster, S Peleg Proc. of Computer Vision and Pattern Recognition, 442-446, 1983 | 25 | 1983 |
Heuristic search algorithm for dimensionality reduction optimally combining feature selection and feature extraction B He, S Shah, C Maung, G Arnold, G Wan, H Schweitzer Proceedings of the AAAI conference on artificial intelligence 33 (01), 2280-2287, 2019 | 23 | 2019 |
Organizing image databases as visual-content search trees H Schweitzer Image and Vision Computing 17 (7), 501-511, 1999 | 15 | 1999 |
A distributed algorithm for content based indexing of images by projections on Ritz primary images H Schweitzer, P Stolorz, R Musick Scalable High Performance Computing for Knowledge Discovery and Data Mining …, 1998 | 15 | 1998 |
Utilizing moment invariants and Gröbner bases to reason about shapes H Schweitzer, J Straach Computational Intelligence 14 (4), 461-474, 1998 | 13 | 1998 |
Improved greedy algorithms for sparse approximation of a matrix in terms of another matrix C Maung, H Schweitzer IEEE Transactions on Knowledge and Data Engineering 27 (3), 769-780, 2014 | 12 | 2014 |