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Haim Schweitzer Vis

Haim Shvaytser

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*2005
23 Feng Wu, Haim Schweitzer: Feature Selection for Learning from Images. VISION 2005: 127-133
2004
22EETomohiro Yoshizawa, Haim Schweitzer: Long-term learning of semantic grouping from relevance-feedback. Multimedia Information Retrieval 2004: 165-172
2002
21EEHaim Schweitzer, J. W. Bell, Feng Wu: Very Fast Template Matching. ECCV (4) 2002: 358-372
20EEHaim Schweitzer: Computing Content-Plots for Video. ECCV (4) 2002: 491-501
2001
19 Haim Schweitzer: Template Matching Approach to Content Based Image Indexing by Low Dimensional Euclidean Embedding. ICCV 2001: 566-571
1999
18EEHaim Schweitzer: Optimal Eigenfeature Selection by Optimal Image Registration. CVPR 1999: 1219-1224
17EEHaim Schweitzer: Utilizing Scatter for Pixel Subspace Selection. ICCV 1999: 1111-1116
16EEHaim Schweitzer: Organizing image databases as visual-content search trees. Image Vision Comput. 17(7): 501-511 (1999)
15 Haim Schweitzer: Precise induction from statistical data. J. Exp. Theor. Artif. Intell. 11(2): 185-199 (1999)
1998
14 Haim Schweitzer: Computing Ritz Approximations of Primary Images. ICCV 1998: 139-144
13 Haim Schweitzer: Indexing Images by Trees of Visual Content. ICCV 1998: 582-587
12 Haim Schweitzer, Janell Straach: Utilizing Moment Invariants and Grobner Bases to Reason about Shapes. Computational Intelligence 14: 461-474 (1998)
1997
11 Haim Schweitzer: Classification and Reductio-ad-Absurdum Optimality Proofs. AAAI/IAAI 1997: 88-93
10 Haim Schweitzer: A Distributed Algorithm for Content Based Indexing of Images by Projections on Ritz Primary Images. Data Min. Knowl. Discov. 1(4): 375-390 (1997)
1996
9EEHaim Schweitzer, Radha Krishnan: Structure from Multiple 2D Affine Correspondences without Camera Calibration. CVPR 1996: 258-263
1995
8 Haim Schweitzer, Janell Straach: Utilizing Moment Invariants and Gröbner Bases to Reason About Shapes. IJCAI (1) 1995: 908-914
7EEHaim Schweitzer: Occam Algorithms for Computing Visual Motion. IEEE Trans. Pattern Anal. Mach. Intell. 17(11): 1033-1042 (1995)
1991
6 James R. Bergen, Haim Schweitzer: A Probabilistic Algorithm for Computing Hough Transforms. J. Algorithms 12(4): 639-656 (1991)
1990
5 Haim Schweitzer: Probabilities that Imply Certainties. AAAI 1990: 665-670
4 Haim Schweitzer: A Necessary Condition for Learning from Positive Examples. Machine Learning 5: 101-113 (1990)
1988
3EEHaim Schweitzer: Non-Learnable Classes of Boolean Formulae That Are Closer Under Variable Permutation. COLT 1988: 155-166
2 Haim Shvaytser: Representing Knowledge in Learning Systems by Pseudo Boolean Functions. TARK 1988: 245-259
1985
1EEHaim Shvaytser, Shmuel Peleg: Fuzzy and probability vectors as elements of a vector space. Inf. Sci. 36(3): 231-247 (1985)

Coauthor Index

1J. W. Bell [21]
2James R. Bergen [6]
3Radha Krishnan [9]
4Shmuel Peleg [1]
5Janell Straach [8] [12]
6Feng Wu [21] [23]
7Tomohiro Yoshizawa [22]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)