David P. Casasent

According to our database, David P. Casasent authored at least 62 papers between 1969 and 2009.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2009

An improvement on floating search algorithms for feature subset selection.

Songyot Nakariyakul, David P. Casasent

Pattern Recognit., 2009

A support vector hierarchical method for multi-class classification and rejection.

Yu-Chiang Frank Wang, David P. Casasent

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

New support vector-based design method for binary hierarchical classifiers for multi-class classification problems.

Yu-Chiang Frank Wang, David P. Casasent

Neural Networks, 2008

Soft-decision hierarchical classification using SVM-type classifiers.

Yu-Chiang Frank Wang, David P. Casasent

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Adaptive branch and bound algorithm for selecting optimal features.

Songyot Nakariyakul, David P. Casasent

Pattern Recognit. Lett., 2007

New Weighted Support Vector K-means Clustering for Hierarchical Multi-class Classification.

Yu-Chiang Frank Wang, David P. Casasent

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

Advanced Signal Processing Techniques for Bioinformatics.

Xue-wen Chen, Sun Kim, Vladimir I. Pavlovic, David P. Casasent

EURASIP J. Adv. Signal Process., 2006

Hierarchical K-means Clustering Using New Support Vector Machines for Multi-class Classification.

Yu-Chiang Frank Wang, David P. Casasent

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

A hierarchical classifier using new support vector machines for automatic target recognition.

David P. Casasent, Yu-Chiang Wang

Neural Networks, 2005

Pruning support vectors for imbalanced data classification.

Xue-wen Chen, Byron Gerlach, David P. Casasent

Proceedings of the IEEE International Joint Conference on Neural Networks, 2005

Automatic target recognition using new support vector machine.

David P. Casasent, Yu-Chiang Wang

Proceedings of the IEEE International Joint Conference on Neural Networks, 2005

A Hierarchical Classifier Using New Support Vector Machine.

Yu-Chiang Wang, David P. Casasent

Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

2003

New training strategies for RBF neural networks for X-ray agricultural product inspection.

David P. Casasent, Xue-wen Chen

Pattern Recognit., 2003

Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classification.

David P. Casasent, Xue-wen Chen

Neural Networks, 2003

Support vector machines for class representation and discrimination.

Chao Yuan, David P. Casasent

Proceedings of the International Joint Conference on Neural Networks, 2003

Confidence-clustering supervised radial basis function neural networks.

David P. Casasent, Xue-wen Chen

Proceedings of the International Joint Conference on Neural Networks, 2003

A Novel Support Vector Classifier with Better Rejection Performance.

Chao Yuan, David P. Casasent

Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002

Feature Space Trajectory Methods for Active Computer Vision.

Michael A. Sipe, David P. Casasent

IEEE Trans. Pattern Anal. Mach. Intell., 2002

2001

Quadratic Gabor filters for object detection.

David M. Weber, David P. Casasent

IEEE Trans. Image Process., 2001

A closed-form neural network for discriminatory feature extraction from high-dimensional data.

Ashit Talukder, David P. Casasent

Neural Networks, 2001

2000

Neural Net with Adaptive Activation Functions for Face Recognition.

Ashit Talukder, David P. Casasent

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Scale-space median and Gabor filtering and fuzzy unification for boundary detection electron microscopy images.

Serhat Özdemir, David P. Casasent

Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999

Pose-invariant recognition of faces at unknown aspect views.

Ashit Talukder, David P. Casasent

Proceedings of the International Joint Conference Neural Networks, 1999

Global feature space neural network for active object recognition.

Michael A. Sipe, David P. Casasent

Proceedings of the International Joint Conference Neural Networks, 1999

1998

Ri-Minace Filters To Augment Segmentation Of Touching Objects.

David P. Casasent, Westley Cox

Pattern Recognit., 1998

The extended piecewise quadratic neural network.

David M. Weber, David P. Casasent

Neural Networks, 1998

Global feature space neural network for active computer vision.

Michael A. Sipe, David P. Casasent

Neural Comput. Appl., 1998

Object recognition using appearance representations derived from solid models of objects.

Michael A. Sipe, David P. Casasent

Proceedings of the Visual Information Processing VII, Orlando, FL, USA, April 13, 1998, 1998

1997

Detection filters and algorithm fusion for ATR.

David P. Casasent, Anqi Ye

IEEE Trans. Image Process., 1997

Guest Editorial Introduction To The Special Issue On Automatic Target Detection And Recognition.

Bir Bhanu, Dan E. Dudgeon, Edmund G. Zelnio, Azriel Rosenfeld, David P. Casasent, Irving S. Reed

IEEE Trans. Image Process., 1997

Synthetic aperture radar detection and clutter rejection minace filters.

David P. Casasent, Rajesh Shenoy

Pattern Recognit., 1997

1995

Classifier and shift-invariant automatic target recognition neural networks.

David P. Casasent, Leonard M. Neiberg

Neural Networks, 1995

A classifier neural net with complex-valued weights and square-law nonlinearities.

David P. Casasent, Sanjay Natarajan

Neural Networks, 1995

1994

Fast Method for Updating Robust Pseudoinverse and Ho-Kashyap Associative Processors.

Brian A. Telfer, David P. Casasent

IEEE Trans. Syst. Man Cybern. Syst., 1994

General-purpose optical pattern recognition image processors.

David P. Casasent

Proc. IEEE, 1994

Advanced In-Plane Rotation-Invariant Correlation Filters.

Gopalan Ravichandran, David P. Casasent

IEEE Trans. Pattern Anal. Mach. Intell., 1994

1993

Minimum-cost associative processor for piecewise-hyperspherical classification.

Brian A. Telfer, David P. Casasent

Neural Networks, 1993

Optical Pattern Recognition for Computer Vision.

David P. Casasent

Proceedings of the Handbook of Pattern Recognition and Computer Vision, 1993

1992

High capacity pattern recognition associative processors.

David P. Casasent, Brian A. Telfer

Neural Networks, 1992

Multifunctional hybrid neural net.

David P. Casasent

Neural Networks, 1992

Optical Processing in Neural Networks.

David P. Casasent

IEEE Expert, 1992

1991

Invariance and neural nets.

Etienne Barnard, David P. Casasent

IEEE Trans. Neural Networks, 1991

Neural closure associative processor.

Brian A. Telfer, David P. Casasent

Neural Networks, 1991

1990

Iterative Fisher/minimum-variance optical classifier.

Shiaw-Dong D. Liu, David P. Casasent

Pattern Recognit., 1990

Shift invariance and the neocognitron.

Etienne Barnard, David P. Casasent

Neural Networks, 1990

Ho-Kashyap content-addressable associative processors.

Brian A. Telfer, David P. Casasent

Proceedings of the IJCNN 1990, 1990

Adaptive clustering neural net for piecewise nonlinear discriminant surfaces.

David P. Casasent, Etienne Barnard

Proceedings of the IJCNN 1990, 1990

1989

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

Etienne Barnard, David P. Casasent

IEEE Trans. Syst. Man Cybern., 1989

Determination of Three-Dimensional Object Location and Orientation from Range Images.

Raghu Krishnapuram, David P. Casasent

IEEE Trans. Pattern Anal. Mach. Intell., 1989

1988

Reply to David A. Pintsov.

David P. Casasent, Raghuram Krishnapuram

Pattern Recognit., 1988

Optical neural networks for image analysis: imaging spectroscopy and production systems.

Elizabeth C. Botha, Etienne Barnard, David P. Casasent

Proceedings of International Conference on Neural Networks (ICNN'88), 1988

1987

Curved object location by Hough transformations and inversions.

David P. Casasent, Raghuram Krishnapuram

Pattern Recognit., 1987

Hough space transformations for discrimination and distortion estimation.

Raghuram Krishnapuram, David P. Casasent

Comput. Vis. Graph. Image Process., 1987

1981

A review of optical signal processing.

David P. Casasent

IEEE Commun. Mag., 1981

1979

Coherent Optical Computing.

David P. Casasent

Computer, 1979

1978

System Functions for an Optical/Digital Processor.

David P. Casasent, Peter D. Rapp

IEEE Trans. Computers, 1978

Optical data processing: applications.

David Paul Casasent, Nils H. Abramson

Topics in applied physics 23, Springer, ISBN: 0387084533, 1978

1975

An Optical/Digital Processor: Hardware and Applications.

David P. Casasent, Warren M. Sterling

IEEE Trans. Computers, 1975

1974

An Investigation of Alternative Cache Organizations.

James R. Bell, David P. Casasent, Gordon C. Bell

IEEE Trans. Computers, 1974

1973

A Hybrid Digital/Optical Computer System.

David P. Casasent

IEEE Trans. Computers, 1973

1972

A register transfer module FFT processor for speech analysis.

David P. Casasent, Warren M. Sterling

Proceedings of the American Federation of Information Processing Societies: Proceedings of the AFIPS '72 Fall Joint Computer Conference, December 5-7, 1972, Anaheim, California, USA, 1972

1969

An on-Line Electro-Optical Video Processing System

David Paul Casasent

PhD thesis, 1969