Jack Sklansky

90 papers A* 4A 1B 8C 1Journal 61Unranked 11
YearRankTypeTitle / Venue / Authors
2002 B conf
Optimization of active-contour model parameters using genetic algorithms: segmentation of breast lesions in mammograms.
Image Processing
Yuan Xu, Scott C. Neu, Chester J. Ornes, Janis F. Owens, Jack Sklansky, Daniel J. Valentino
2001 J jnl
Segmenting multisensor aerial images in class-scale space.
Pattern Recognit.
Brian Lofy, Jack Sklansky
2000 — conf
Comparison of Classifier-Specific Feature Selection Algorithms.
SSPR/SPR
Mineichi Kudo, Petr Somol, Pavel Pudil, Masaru Shimbo, Jack Sklansky
2000 J jnl
Comparison of algorithms that select features for pattern classifiers.
Pattern Recognit.
Mineichi Kudo, Jack Sklansky
1998 B conf
A Neurodatabase System for Mammographic Screening.
CBMS
Jack Sklansky, Eric Y. Tao, Chester Ornes, Anthony Disher
1998 J jnl
A comparative evaluation of medium- and large-scale feature selectors for pattern classifiers.
Kybernetika
Mineichi Kudo, Jack Sklansky
1998 J jnl
A visual neural classifier.
IEEE Trans. Syst. Man Cybern. Part B
Chester Ornes, Jack Sklansky
1998 B conf
A visual neural network that learns perceptual relationships.
ICPR
Chester Ornes, Anthony Disher, Jack Sklansky
1998 B conf
Automatic detection of microcalcifications in digital mammography.
Image Processing
Eric Y. Tao, Chester J. Ornes, Jack Sklansky
1998 — conf
Classifier-Independent Feature Selection For Two-Stage Feature Selection.
SSPR/SPR
Mineichi Kudo, Jack Sklansky
1997 — conf
A neural network that explains as well as predicts financial market behavior.
CIFEr
Chester Ornes, Jack Sklansky
1997 J jnl
A neural network that visualizes what it classifies.
Pattern Recognit. Lett.
Chester Ornes, Jack Sklansky
1997 — conf
A visual multi-expert neural classifier.
ICNN
Chester Ornes, Jack Sklansky
1996 B conf
Analysis of mammograms aided by database of images of calcifications and textures.
Image Processing
Eric Y. Tao, Jack Sklansky
1996 B conf
Binary linear decision tree with genetic algorithm.
ICPR
Bing-Bing Chai, Xinhua Zhuang, Yunxin Zhao, Jack Sklansky
1996 J jnl
Genetic Selection and Neural Modeling of Piecewise-Linear Classifiers.
Int. J. Pattern Recognit. Artif. Intell.
Jack Sklansky, Mark Vriesenga
1996 B conf
Neural modeling of piecewise linear classifiers.
ICPR
Mark Vriesenga, Jack Sklansky
1996 J jnl
Piecewise linear classifiers using binary tree structure and genetic algorithm.
Pattern Recognit.
Bing-Bing Chai, Tong Huang, Xinhua Zhuang, Yunxin Zhao, Jack Sklansky
1995 J jnl
Colored Illumination for Enhancing Discriminability in Machine Vision.
J. Vis. Commun. Image Represent.
Mark Vriesenga, Glenn Healey, Jack Sklansky, Kalman Peleg
1995 J jnl
Linear classifiers by window training.
IEEE Trans. Syst. Man Cybern.
Leon Bobrowski, Jack Sklansky
1994 — conf
Linear classifiers by window training and basis exchange.
ICPR (2)
Leon Bobrowski, Jack Sklansky
1994 J jnl
Reconstructing the 3-D medial axes of coronary arteries in single-view cineangiograms.
IEEE Trans. Medical Imaging
Thinh V. Nguyen, Jack Sklansky
1993 — ch.
A note on Genetic Algorithms for Large-Scale Feature Selection.
Handbook of Pattern Recognition and Computer Vision
Wojciech W. Siedlecki, Jack Sklansky
1993 — ch.
Constrained Genetic Optimization via Dynamic Reward-penalty Balancing and its Use in Pattern Recognition.
Handbook of Pattern Recognition and Computer Vision
Wojciech W. Siedlecki, Jack Sklansky
1993 C conf
Estimating Optical Flow for Large Interframe Displacements.
CAIP
R. Agarwal, Jack Sklansky
1993 J jnl
Graph-Based Thinning for Binary Images.
Int. J. Pattern Recognit. Artif. Intell.
Satoshi Suzuki, Naonori Ueda, Jack Sklansky
1993 J jnl
Interframe Interpolation of Cinematic Sequences.
J. Vis. Commun. Image Represent.
Jordi Ribas-Corbera, Jack Sklansky
1993 — ch.
Large-Scale Feature Selection.
Handbook of Pattern Recognition and Computer Vision
Jack Sklansky, Wojciech W. Siedlecki
1993 — ch.
On Automatic Feature Selection.
Handbook of Pattern Recognition and Computer Vision
Wojciech W. Siedlecki, Jack Sklansky
1992 A* conf
Controlling illumination color to enhance object discriminability.
CVPR
Mark Vriesenga, Glenn Healey, Kalman Peleg, Jack Sklansky
1992 — conf
Estimating optical flow from clustered trajectories in velocity-time.
ICPR (1)
R. Agarwal, Jack Sklansky
1992 — conf
Extracting nonrigid moving objects by temporal edges.
ICPR (1)
Satoshi Suzuki, Jack Sklansky
1992 J jnl
Flexible mask subtraction for digital angiography.
IEEE Trans. Medical Imaging
Luong Van Tran, Jack Sklansky
1992 A conf
Interpolation of cinematic sequences.
WACV
Jordi Ribas-Corbera, Jack Sklansky
1992 — conf
Multiresolution method for reconstructing the cross sections of coronary arteries from biplane angiograms.
ICPR (3)
Ruye Wang, Jack Sklansky
1992 J jnl
Reconstructing the cross sections of coronary arteries from biplane angiograms.
IEEE Trans. Medical Imaging
Luong Van Tran, Robert C. Bahn, Jack Sklansky
1991 J jnl
Machine vision in the 1990s: Applications and how to get there.
Mach. Vis. Appl.
Dragutin Petkovic, J. Wilder, Masakazu Ejiri, Robert M. Haralick, Ramesh C. Jain, Peter A. Ruetz, Jack Sklansky, C. W. Swonger
1991 J jnl
Robust Classifiers by Mixed Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Dan Gutfinger, Jack Sklansky
1990 J jnl
Automated design of linear tree classifiers.
Pattern Recognit.
Youngtae Park, Jack Sklansky
1990 — conf
Fast tree classifiers.
ICPR (1)
Youngtae Park, Jack Sklansky
1990 A* conf
Robust curve detection by temporal geodesics.
ICCV
Dan Gutfinger, R. Nishimura, H. Doi, Jack Sklansky
1989 J jnl
A note on genetic algorithms for large-scale feature selection.
Pattern Recognit. Lett.
Wojciech W. Siedlecki, Jack Sklansky
1989 — conf
Constrained Genetic Optimization via Dynarnic Reward-Penalty Balancing and Its Use in Pattern Recognition.
ICGA
Wojciech W. Siedlecki, Jack Sklansky
1988 J jnl
An editorial welcome.
Mach. Vis. Appl.
Ramesh C. Jain, André Oosterlinck, Jorge Sanz, Jack Sklansky, Masahiko Yachida
1988 J jnl
An overview of mapping techniques for exploratory pattern analysis.
Pattern Recognit.
Wojciech W. Siedlecki, Kinga Siedlecka, Jack Sklansky
1988 B conf
Automated design of piecewise-linear classifiers of multiple-class data.
ICPR
Youngtae Park, Jack Sklansky
1988 J jnl
Experiments on mapping techniques for exploratory pattern analysis.
Pattern Recognit.
Wojciech W. Siedlecki, Kinga Siedlecka, Jack Sklansky
1988 J jnl
On Automatic Feature Selection.
Int. J. Pattern Recognit. Artif. Intell.
Wojciech W. Siedlecki, Jack Sklansky
1987 J jnl
Feature Selection for Automatic Classification of Non-Gaussian Data.
IEEE Trans. Syst. Man Cybern.
Iman Foroutan, Jack Sklansky
1987 J jnl
Recursive Algorithms for Implementing Digital Image Filters.
IEEE Trans. Pattern Anal. Mach. Intell.
Leonard A. Ferrari, P. V. Sankar, S. Shinnaka, Jack Sklansky
1985 J jnl
A note on duhamel integrals and running average filters.
Comput. Vis. Graph. Image Process.
Leonard A. Ferrari, Jack Sklansky
1985 J jnl
The relative neighborhood graph for mixed feature variables.
Pattern Recognit.
Manabu Ichino, Jack Sklansky
1984 J jnl
A fast recursive algorithm for binary-valued two-dimensional filters.
Comput. Vis. Graph. Image Process.
Leonard A. Ferrari, Jack Sklansky
1984 J jnl
Minimal rectangular partitions of digitized blobs.
Comput. Vis. Graph. Image Process.
Leonard A. Ferrari, P. V. Sankar, Jack Sklansky
1984 J jnl
Optimum feature selection by zero-one integer programming.
IEEE Trans. Syst. Man Cybern.
Manabu Ichino, Jack Sklansky
1983 J jnl
A fast recursive algorithm for binary valued two-dimensional filters.
Comput. Vis. Graph. Image Process.
Leonard A. Ferrari, Jack Sklansky
1982 J jnl
A Gestalt-Guided Heuristic Boundary Follower for X-Ray Images of Lung Nodules.
IEEE Trans. Pattern Anal. Mach. Intell.
Pathamadi V. Sankar, Jack Sklansky
1982 J jnl
Digital and cellular convexity.
Pattern Recognit.
Chul E. Kim, Jack Sklansky
1982 J jnl
Finding the convex hull of a simple polygon.
Pattern Recognit. Lett.
Jack Sklansky
1981 J jnl
The Detection and Segmentation of Blobs in Infrared Images.
IEEE Trans. Syst. Man Cybern.
Lewis G. Minor, Jack Sklansky
1980 J jnl
Fast polygonal approximation of digitized curves.
Pattern Recognit.
Jack Sklansky, Víctor M. González
1980 J jnl
Locally Trained Piecewise Linear Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell.
Jack Sklansky, Leo Michelotti
1978 J jnl
Image Segmentation and Feature Extraction.
IEEE Trans. Syst. Man Cybern.
Jack Sklansky
1978 J jnl
On the Hough Technique for Curve Detection.
IEEE Trans. Computers
Jack Sklansky
1977 J jnl
Finding the rib cage in chest radiographs.
Pattern Recognit.
Harry Wechsler, Jack Sklansky
1976 J jnl
A Ladder-Structured Decision Tree for Recognizing Tumors in Chest Radiographs.
IEEE Trans. Computers
Dana H. Ballard, Jack Sklansky
1976 J jnl
A Theory of Nonuniformly Digitized Binary Pictures.
IEEE Trans. Syst. Man Cybern.
Jack Sklansky, Dennis F. Kibler
1976 J jnl
Parallel Detection of Concavities in Cellular Blobs.
IEEE Trans. Computers
Jack Sklansky, Luigi P. Cordella, Stefano Levialdi
1975 A* conf
Automatic Detection Of Rib Contours in Chest Radiographs.
IJCAI
Harry Wechsler, Jack Sklansky
1975 J jnl
Finding Circles by an Array of Accumulators.
Commun. ACM
Caolyn Kimme, Dana Balard, Jack Sklansky
1973 J jnl
A Continuous Two-Dimensional Model of Threshold Learning.
IEEE Trans. Syst. Man Cybern.
Jack Sklansky, Philemon M. Merryman
1972 J jnl
A Parallel Mechanism for Describing Silhouettes.
IEEE Trans. Computers
Jack Sklansky, Paul J. Nahin
1972 J jnl
Measuring Concavity on a Rectangular Mosaic.
IEEE Trans. Computers
Jack Sklansky
1972 J jnl
Minimum-Perimeter Polygons of Digitized Silhouettes.
IEEE Trans. Computers
Jack Sklansky, Robert L. Chazin, Bruce J. Hansen
1972 J jnl
Training a One-Dimensional Classifier to Minimize the Probability of Error.
IEEE Trans. Syst. Man Cybern.
Gustav N. Wassel, Jack Sklansky
1971 — conf
A Parallel Mechanism for Recognizing Silhouettes.
IFIP Congress (1)
Jack Sklansky, P. J. Najin
1971 J jnl
Threshold learning and Brownian motion (Corresp.).
IEEE Trans. Inf. Theory
Neil J. Bershad, Jack Sklansky
1970 J jnl
R70-16 Unate Cellular Logic.
IEEE Trans. Computers
Jack Sklansky
1970 J jnl
Recognition of convex blobs.
Pattern Recognit.
Jack Sklansky
1970 J jnl
Thresholded Convolutions Operations.
J. ACM
Jack Sklansky
1969 A* conf
Recognizing Convex Blobs.
IJCAI
Jack Sklansky
1969 J jnl
The Dynamics of Time-Varying Threshold Learning
Inf. Control.
Jack Sklansky, Neil J. Bershad
1968 J jnl
A Formalism for Program Translation.
J. ACM
Jack Sklansky, M. Finkelstein
1965 J jnl
Canonical Tributary Networks.
IEEE Trans. Electron. Comput.
Jack Sklansky, A. J. Korenjak, H. S. Stone
1965 J jnl
Threshold training of two-mode signal detection.
IEEE Trans. Inf. Theory
Jack Sklansky
1963 J jnl
General Synthesis of Tributary Switching Networks.
IEEE Trans. Electron. Comput.
Jack Sklansky
1963 J jnl
Transients in Markov Chains.
IEEE Trans. Electron. Comput.
Jack Sklansky, Kenneth R. Kaplan
1963 J jnl
Ultimate-Speed Adders.
IEEE Trans. Electron. Comput.
Jack Sklansky
1960 J jnl
An Evaluation of Several Two-Summand Binary Adders.
IRE Trans. Electron. Comput.
Jack Sklansky
1960 J jnl
Conditional-Sum Addition Logic.
IRE Trans. Electron. Comput.
Jack Sklansky