An on-Line Electro-Optical Video Processing System - David Paul Casasent (1969)

A register transfer module FFT processor for speech analysis. - David P. Casasent; Warren M. Sterling (AFIPS Fall Joint Computing Conference (2), 1972)

A Hybrid Digital/Optical Computer System. - David P. Casasent (IEEE Trans. Computers, 1973)

An Investigation of Alternative Cache Organizations. - James R. Bell 001; David P. Casasent; Gordon C. Bell (IEEE Trans. Computers, 1974)

An Optical/Digital Processor: Hardware and Applications. - David P. Casasent; Warren M. Sterling (IEEE Trans. Computers, 1975)

Optical data processing: applications. - David Paul Casasent; Nils H. Abramson (Springer, 1978)

System Functions for an Optical/Digital Processor. - David P. Casasent; Peter D. Rapp (IEEE Trans. Computers, 1978)

Coherent Optical Computing. - David P. Casasent (Computer, 1979)

A review of optical signal processing. - David P. Casasent (IEEE Commun. Mag., 1981)

Hough space transformations for discrimination and distortion estimation. - Raghuram Krishnapuram; David P. Casasent (Comput. Vis. Graph. Image Process., 1987)

Curved object location by Hough transformations and inversions. - David P. Casasent; Raghuram Krishnapuram (Pattern Recognit., 1987)

Optical neural networks for image analysis: imaging spectroscopy and production systems. - Elizabeth C. Botha; Etienne Barnard; David P. Casasent (ICNN, 1988)

Reply to David A. Pintsov. - David P. Casasent; Raghuram Krishnapuram (Pattern Recognit., 1988)

Determination of Three-Dimensional Object Location and Orientation from Range Images. - Raghu Krishnapuram; David P. Casasent (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Adaptive clustering neural net for piecewise nonlinear discriminant surfaces. - David P. Casasent; Etienne Barnard (IJCNN, 1990)

Ho-Kashyap content-addressable associative processors. - Brian A. Telfer; David P. Casasent (IJCNN, 1990)

Shift invariance and the neocognitron. - Etienne Barnard; David P. Casasent (Neural Networks, 1990)

Iterative Fisher/minimum-variance optical classifier. - Shiaw-Dong D. Liu; David P. Casasent (Pattern Recognit., 1990)

Neural closure associative processor. - Brian A. Telfer; David P. Casasent (Neural Networks, 1991)

Invariance and neural nets. - Etienne Barnard; David P. Casasent (IEEE Trans. Neural Networks, 1991)

Optical Processing in Neural Networks. - David P. Casasent (IEEE Expert, 1992)

Multifunctional hybrid neural net. - David P. Casasent (Neural Networks, 1992)

High capacity pattern recognition associative processors. - David P. Casasent; Brian A. Telfer (Neural Networks, 1992)

Optical Pattern Recognition for Computer Vision. - David P. Casasent (Handbook of Pattern Recognition and Computer Vision, 1993)

Minimum-cost associative processor for piecewise-hyperspherical classification. - Brian A. Telfer; David P. Casasent (Neural Networks, 1993)

Advanced In-Plane Rotation-Invariant Correlation Filters. - Gopalan Ravichandran; David P. Casasent (IEEE Trans. Pattern Anal. Mach. Intell., 1994)

General-purpose optical pattern recognition image processors. - David P. Casasent (Proc. IEEE, 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)

A classifier neural net with complex-valued weights and square-law nonlinearities. - David P. Casasent; Sanjay Natarajan (Neural Networks, 1995)

Classifier and shift-invariant automatic target recognition neural networks. - David P. Casasent; Leonard M. Neiberg (Neural Networks, 1995)

Synthetic aperture radar detection and clutter rejection minace filters. - David P. Casasent; Rajesh Shenoy (Pattern Recognit., 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)

Detection filters and algorithm fusion for ATR. - David P. Casasent; Anqi Ye (IEEE Trans. Image Process., 1997)

Object recognition using appearance representations derived from solid models of objects. - Michael A. Sipe; David P. Casasent (Visual Information Processing, 1998)

Global feature space neural network for active computer vision. - Michael A. Sipe; David P. Casasent (Neural Comput. Appl., 1998)

The extended piecewise quadratic neural network. - David M. Weber; David P. Casasent (Neural Networks, 1998)

Ri-Minace Filters To Augment Segmentation Of Touching Objects. - David P. Casasent; Westley Cox (Pattern Recognit., 1998)

Global feature space neural network for active object recognition. - Michael A. Sipe; David P. Casasent (IJCNN, 1999)

Pose-invariant recognition of faces at unknown aspect views. - Ashit Talukder; David P. Casasent (IJCNN, 1999)

Scale-space median and Gabor filtering and fuzzy unification for boundary detection electron microscopy images. - Serhat Özdemir; David P. Casasent (NSIP, 1999)

Neural Net with Adaptive Activation Functions for Face Recognition. - Ashit Talukder; David P. Casasent (IJCNN (3), 2000)

A closed-form neural network for discriminatory feature extraction from high-dimensional data. - Ashit Talukder; David P. Casasent (Neural Networks, 2001)

Quadratic Gabor filters for object detection. - David M. Weber; David P. Casasent (IEEE Trans. Image Process., 2001)

Feature Space Trajectory Methods for Active Computer Vision. - Michael A. Sipe; David P. Casasent (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

A Novel Support Vector Classifier with Better Rejection Performance. - Chao Yuan; David P. Casasent (CVPR (1), 2003)

Confidence-clustering supervised radial basis function neural networks. - David P. Casasent; Xue-wen Chen 001 (IJCNN, 2003)

Support vector machines for class representation and discrimination. - Chao Yuan; David P. Casasent (IJCNN, 2003)

Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classification. - David P. Casasent; Xue-wen Chen 001 (Neural Networks, 2003)

New training strategies for RBF neural networks for X-ray agricultural product inspection. - David P. Casasent; Xue-wen Chen 001 (Pattern Recognit., 2003)

A Hierarchical Classifier Using New Support Vector Machine. - Yu-Chiang Wang 001; David P. Casasent (ICDAR, 2005)

Automatic target recognition using new support vector machine. - David P. Casasent; Yu-Chiang Wang 001 (IJCNN, 2005)

Pruning support vectors for imbalanced data classification. - Xue-wen Chen 001; Byron Gerlach; David P. Casasent (IJCNN, 2005)

A hierarchical classifier using new support vector machines for automatic target recognition. - David P. Casasent; Yu-Chiang Wang 001 (Neural Networks, 2005)

Hierarchical K-means Clustering Using New Support Vector Machines for Multi-class Classification. - Yu-Chiang Frank Wang; David P. Casasent (IJCNN, 2006)

Advanced Signal Processing Techniques for Bioinformatics. - Xue-wen Chen 001; Sun Kim; Vladimir I. Pavlovic; David P. Casasent (EURASIP J. Adv. Signal Process., 2006)

New Weighted Support Vector K-means Clustering for Hierarchical Multi-class Classification. - Yu-Chiang Frank Wang; David P. Casasent (IJCNN, 2007)

Adaptive branch and bound algorithm for selecting optimal features. - Songyot Nakariyakul; David P. Casasent (Pattern Recognit. Lett., 2007)

Soft-decision hierarchical classification using SVM-type classifiers. - Yu-Chiang Frank Wang; David P. Casasent (IJCNN, 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)

A support vector hierarchical method for multi-class classification and rejection. - Yu-Chiang Frank Wang; David P. Casasent (IJCNN, 2009)

An improvement on floating search algorithms for feature subset selection. - Songyot Nakariyakul; David P. Casasent (Pattern Recognit., 2009)