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