Haim Shvaytser
List of publications from the DBLP Bibliography Server - FAQ
2005 | ||
---|---|---|
23 | Feng Wu, Haim Schweitzer: Feature Selection for Learning from Images. VISION 2005: 127-133 | |
2004 | ||
22 | EE | Tomohiro Yoshizawa, Haim Schweitzer: Long-term learning of semantic grouping from relevance-feedback. Multimedia Information Retrieval 2004: 165-172 |
2002 | ||
21 | EE | Haim Schweitzer, J. W. Bell, Feng Wu: Very Fast Template Matching. ECCV (4) 2002: 358-372 |
20 | EE | Haim 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 | ||
18 | EE | Haim Schweitzer: Optimal Eigenfeature Selection by Optimal Image Registration. CVPR 1999: 1219-1224 |
17 | EE | Haim Schweitzer: Utilizing Scatter for Pixel Subspace Selection. ICCV 1999: 1111-1116 |
16 | EE | Haim 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 | ||
9 | EE | Haim 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 | |
7 | EE | Haim 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 | ||
3 | EE | Haim 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 | ||
1 | EE | Haim Shvaytser, Shmuel Peleg: Fuzzy and probability vectors as elements of a vector space. Inf. Sci. 36(3): 231-247 (1985) |
1 | J. W. Bell | [21] |
2 | James R. Bergen | [6] |
3 | Radha Krishnan | [9] |
4 | Shmuel Peleg | [1] |
5 | Janell Straach | [8] [12] |
6 | Feng Wu | [21] [23] |
7 | Tomohiro Yoshizawa | [22] |