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Computer Science

D-Index
51
Citations
9104
World Ranking
5396
National Ranking
2467

Research.com Recognitions

  • 1977 - SPIE Fellow

Overview

David Casasent is affiliated with Carnegie Mellon University in the United States. Their professional focus is within academic research at this institution.

In 1977, they were recognized as an SPIE Fellow, an award indicating their involvement in the field related to the International Society for Optics and Photonics.

Available data does not list recent papers, frequent co-authors, or publication venues connected to David Casasent. Similarly, no specific book publications, detailed fields of study, or documented subfields associated with their work are provided.

The absence of listed main topics of work suggests that publicly shared information regarding specific research subjects is limited or unavailable.

Best Publications

  • Multivariant technique for multiclass pattern recognition.

    Charles F. Hester;David Casasent

  • Unified synthetic discriminant function computational formulation.

    David Casasent

  • Application Of The Liquid Crystal Light Valve To Real-Time Optical Data Processing

    W. P. Bleha;L. T. Lipton;E. Wiener-Avnear;J. Grinberg

  • New optical transforms for pattern recognition

    D. Casasent;D. Psaltis

  • Correlation synthetic discriminant functions.

    David Casasent;Wen-Thong Chang

  • An improvement on floating search algorithms for feature subset selection

    Songyot Nakariyakul;David P. Casasent

  • Minimum noise and correlation energy optical correlation filter.

    Gopalan Ravichandran;David Casasent

  • Invariance and neural nets

    E. Barnard;D. Casasent

  • Detection filters and algorithm fusion for ATR

    D. Casasent;Anqi Ye

  • Scale Invariant Optical Transform

    David Casasent;Demetri Psaltis

  • Radial basis function neural networks for nonlinear Fisher discrimination and Neyman&#151Pearson classification

    David Casasent;Xue-wen Chen

  • Optical residue arithmetic: a correlation approach

    Demetri Psaltis;David Casasent

  • A comparison between criterion functions for linear classifiers, with an application to neural nets

    E. Barnard;D. Casasent

  • Curved object location by Hough transformations and inversions

    David Casasent;Raghuram Krishnapuram

  • Wavelet and Gabor transforms for detection

    David P. Casasent;John Scott Smokelin;Anqi Ye

  • Fast JPDA multitarget tracking algorithm.

    James L. Fisher;David P. Casasent

  • Adaptive branch and bound algorithm for selecting optimal features

    Songyot Nakariyakul;David P. Casasent

  • Classifier and shift-invariant automatic target recognition neural networks

    David P. Casasent;Leonard M. Neiberg

  • An Investigation of Alternative Cache Organizations

    J. Bell;D. Casasent;C.G. Bell

  • Accurate Numerical Computation By Optical Convolution

    Demetri Psaltis;David Casasent;Deborah Neft;Mark Ca rlotto

Frequent Co-Authors

Demetri Psaltis
Demetri Psaltis École Polytechnique Fédérale de Lausanne
Etienne Barnard
Etienne Barnard North-West University
B. V. K. Vijaya Kumar
B. V. K. Vijaya Kumar Carnegie Mellon University
Yu-Chiang Frank Wang
Yu-Chiang Frank Wang National Taiwan University
Xue-wen Chen
Xue-wen Chen Wayne State University
Brent L. Adams
Brent L. Adams Brigham Young University
Mohammad S. Alam
Mohammad S. Alam Texas A&M University – Kingsville
Gregory S. Rohrer
Gregory S. Rohrer Carnegie Mellon University
Anthony D. Rollett
Anthony D. Rollett Carnegie Mellon University
Patrick J. Grother
Patrick J. Grother National Institute of Standards and Technology

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