World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
10651
World Ranking
5705
National Ranking
1594

Research.com Recognitions

  • 1994 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition, machine vision and medical imaging and service to the IAPR

Overview

Jack Sklansky is affiliated with the University of California, Irvine in the United States. Their academic career is marked by a focus on various aspects of research and scholarship within their institution's scope.

In 1994, Sklansky was recognized as a Fellow of the International Association for Pattern Recognition (IAPR). This fellowship honors contributions made to pattern recognition, machine vision, and medical imaging, as well as for service to the IAPR.

Best Publications

  • A note on genetic algorithms for large-scale feature selection

    W. Siedlecki;J. Sklansky

  • Comparison of algorithms that select features for pattern classifiers

    Mineichi Kudo;Jack Sklansky

  • Finding circles by an array of accumulators

    Carolyn Kimme;Dana Ballard;Jack Sklansky

  • Conditional-Sum Addition Logic

    Unknown

  • On automatic feature selection

    Wojciech Siedlecki;Jack Sklansky

  • Fast polygonal approximation of digitized curves

    Jack Sklansky;Victor Gonzalez

  • Image Segmentation and Feature Extraction

    Jack Sklansky

  • Finding the convex hull of a simple polygon

    Jack Sklansky

  • The use of Markov Random Fields as models of texture

    Martin Hassner;Jack Sklansky

  • Measuring Concavity on a Rectangular Mosaic

    Unknown

  • Minimum-Perimeter Polygons of Digitized Silhouettes

    Jack Sklansky;Robert L. Chazin;Bruce J. Hansen

  • Pattern Classifiers and Trainable Machines

    Jack Sklansky;Gustav N. Wassel

  • Scan-Along Polygonal Approximation for Data Compression of Electrocardiograms

    Unknown

  • Recognition of convex blobs

    Jack Sklansky

  • Estimating the 3D skeletons and transverse areas of coronary arteries from biplane angiograms.

    Unknown

  • Segmentation of people in motion

    Unknown

  • The Detection and Segmentation of Blobs in Infrared Images

    Lewis G. Minor;Jack Sklansky

  • Locally Trained Piecewise Linear Classifiers

    Jack Sklansky;Leo Michelotti

  • An overview of mapping techniques for exploratory pattern analysis

    W. Siedlecki;K. Siedlecka;J. Sklansky

  • Finding the rib cage in chest radiographs

    Harry Wechsler;Jack Sklansky

  • Feature Selection for Automatic Classification of Non-Gaussian Data

    Iman Foroutan;Jack Sklansky

  • Minimal rectangular partitions of digitized blobs

    Leonard A. Ferrari;P. V. Sankar;Jack Sklansky

  • Automated design of linear tree classifiers

    Y. Park;J. Sklansky

  • Optimum feature selection by zero-one integer programming

    M. Ichino;J. Sklansky

  • Multiple-order derivatives for detecting local image characteristics

    M Hashimoto;J Sklansky

Frequent Co-Authors

Dana H. Ballard
Dana H. Ballard The University of Texas at Austin
Harry Wechsler
Harry Wechsler George Mason University
Satoshi Kawata
Satoshi Kawata Osaka University
Meira Ziv
Meira Ziv Hebrew University of Jerusalem
Mohsen Bazargan
Mohsen Bazargan Charles R. Drew University of Medicine and Science
Jacob V. Maizel
Jacob V. Maizel National Institutes of Health
Nader Bagherzadeh
Nader Bagherzadeh University of California, Irvine
Julius M. Gardin
Julius M. Gardin Rutgers, The State University of New Jersey

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