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Jack Sklansky: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. R. Agarwal, Jack Sklansky
    Estimating Optical Flow for Large Interframe Displacements. [Citation Graph (0, 0)][DBLP]
    CAIP, 1993, pp:403-411 [Conf]
  2. Jack Sklansky, E. Y. Tao, Chester Ornes, A. C. Disher
    A Neurodatabase System for Mammographic Screening. [Citation Graph (0, 0)][DBLP]
    CBMS, 1998, pp:78-83 [Conf]
  3. Wojciech W. Siedlecki, Jack Sklansky
    Constrained Genetic Optimization via Dynarnic Reward-Penalty Balancing and Its Use in Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    ICGA, 1989, pp:141-150 [Conf]
  4. Jack Sklansky, P. J. Najin
    A Parallel Mechanism for Recognizing Silhouettes. [Citation Graph (0, 0)][DBLP]
    IFIP Congress (1), 1971, pp:224-228 [Conf]
  5. Jack Sklansky
    Recognizing Convex Blobs. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1969, pp:107-116 [Conf]
  6. Harry Wechsler, Jack Sklansky
    Automatic Detection Of Rib Contours in Chest Radiographs. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1975, pp:688-694 [Conf]
  7. Mineichi Kudo, Jack Sklansky
    Classifier-Independent Feature Selection For Two-Stage Feature Selection. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 1998, pp:548-554 [Conf]
  8. Mineichi Kudo, Petr Somol, Pavel Pudil, Masaru Shimbo, Jack Sklansky
    Comparison of Classifier-Specific Feature Selection Algorithms. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2000, pp:677-686 [Conf]
  9. Caolyn Kimme, Dana Balard, Jack Sklansky
    Finding Circles by an Array of Accumulators. [Citation Graph (0, 0)][DBLP]
    Commun. ACM, 1975, v:18, n:2, pp:120-122 [Journal]
  10. Leonard A. Ferrari, Jack Sklansky
    A fast recursive algorithm for binary valued two-dimensional filters. [Citation Graph (0, 0)][DBLP]
    Computer Vision, Graphics, and Image Processing, 1983, v:22, n:2, pp:310- [Journal]
  11. Leonard A. Ferrari, Jack Sklansky
    A fast recursive algorithm for binary-valued two-dimensional filters. [Citation Graph (0, 0)][DBLP]
    Computer Vision, Graphics, and Image Processing, 1984, v:26, n:3, pp:292-302 [Journal]
  12. Leonard A. Ferrari, Jack Sklansky
    A note on duhamel integrals and running average filters. [Citation Graph (0, 0)][DBLP]
    Computer Vision, Graphics, and Image Processing, 1985, v:29, n:3, pp:358-360 [Journal]
  13. Leonard A. Ferrari, P. V. Sankar, Jack Sklansky
    Minimal rectangular partitions of digitized blobs. [Citation Graph (0, 0)][DBLP]
    Computer Vision, Graphics, and Image Processing, 1984, v:28, n:1, pp:58-71 [Journal]
  14. Jack Sklansky, N. J. Bershad
    The Dynamics of Time-Varying Threshold Learning [Citation Graph (0, 0)][DBLP]
    Information and Control, 1969, v:15, n:6, pp:455-486 [Journal]
  15. Jack Sklansky, Mark Vriesenga
    Genetic Selection and Neural Modeling of Piecewise-Linear Classifiers. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1996, v:10, n:5, pp:587-612 [Journal]
  16. Satoshi Suzuki, Naonori Ueda, Jack Sklansky
    Graph-Based Thinning for Binary Images. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1993, v:7, n:5, pp:1009-1030 [Journal]
  17. Jack Sklansky
    Thresholded Convolutions Operations. [Citation Graph (0, 0)][DBLP]
    J. ACM, 1970, v:17, n:1, pp:161-165 [Journal]
  18. Jack Sklansky, M. Finkelstein
    A Formalism for Program Translation. [Citation Graph (0, 0)][DBLP]
    J. ACM, 1968, v:15, n:2, pp:165-175 [Journal]
  19. Dan Gutfinger, Jack Sklansky
    Robust Classifiers by Mixed Adaptation. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1991, v:13, n:6, pp:552-567 [Journal]
  20. Bing-Bing Chai, Tong Huang, Xinhua Zhuang, Yunxin Zhao, Jack Sklansky
    Piecewise linear classifiers using binary tree structure and genetic algorithm. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1996, v:29, n:11, pp:1905-1917 [Journal]
  21. Manabu Ichino, Jack Sklansky
    The relative neighborhood graph for mixed feature variables. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1985, v:18, n:2, pp:161-167 [Journal]
  22. Chul E. Kim, Jack Sklansky
    Digital and cellular convexity. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1982, v:15, n:5, pp:359-367 [Journal]
  23. Mineichi Kudo, Jack Sklansky
    Comparison of algorithms that select features for pattern classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2000, v:33, n:1, pp:25-41 [Journal]
  24. Brian Lofy, Jack Sklansky
    Segmenting multisensor aerial images in class-scale space. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2001, v:34, n:9, pp:1825-1839 [Journal]
  25. Youngtae Park, Jack Sklansky
    Automated design of linear tree classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1990, v:23, n:12, pp:1393-1412 [Journal]
  26. Wojciech W. Siedlecki, Kinga Siedlecka, Jack Sklansky
    An overview of mapping techniques for exploratory pattern analysis. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1988, v:21, n:5, pp:411-429 [Journal]
  27. Wojciech W. Siedlecki, Kinga Siedlecka, Jack Sklansky
    Experiments on mapping techniques for exploratory pattern analysis. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1988, v:21, n:5, pp:431-438 [Journal]
  28. Jack Sklansky
    Recognition of convex blobs. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1970, v:2, n:1, pp:3-10 [Journal]
  29. Jack Sklansky, Victor Gonzalez
    Fast polygonal approximation of digitized curves. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1980, v:12, n:5, pp:327-331 [Journal]
  30. Harry Wechsler, Jack Sklansky
    Finding the rib cage in chest radiographs. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1977, v:9, n:1, pp:21-30 [Journal]
  31. Chester Ornes, Jack Sklansky
    A neural network that visualizes what it classifies. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1997, v:18, n:11-13, pp:1301-1306 [Journal]
  32. Wojciech W. Siedlecki, Jack Sklansky
    A note on genetic algorithms for large-scale feature selection. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1989, v:10, n:5, pp:335-347 [Journal]
  33. Dana H. Ballard, Jack Sklansky
    A Ladder-Structured Decision Tree for Recognizing Tumors in Chest Radiographs. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Computers, 1976, v:25, n:5, pp:503-513 [Journal]
  34. Jack Sklansky
    On the Hough Technique for Curve Detection. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Computers, 1978, v:27, n:10, pp:923-926 [Journal]
  35. Jack Sklansky, Luigi P. Cordella, Stefano Levialdi
    Parallel Detection of Concavities in Cellular Blobs. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Computers, 1976, v:25, n:2, pp:187-196 [Journal]
  36. Chester Ornes, Jack Sklansky
    A visual neural classifier. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1998, v:28, n:4, pp:620-625 [Journal]

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