David P. Casasent

Publication Activity (10 Years)

Years Active: 1972-2009
Publications (10 Years): 0

Publications

Yu-Chiang Frank Wang, David P. Casasent
A support vector hierarchical method for multi-class classification and rejection. IJCNN (2009)
Songyot Nakariyakul, David P. Casasent
An improvement on floating search algorithms for feature subset selection. Pattern Recognit. 42 (9) (2009)
Yu-Chiang Frank Wang, David P. Casasent
Soft-decision hierarchical classification using SVM-type classifiers. IJCNN (2008)
Yu-Chiang Frank Wang, David P. Casasent
New support vector-based design method for binary hierarchical classifiers for multi-class classification problems. Neural Networks 21 (2-3) (2008)
Songyot Nakariyakul, David P. Casasent
Adaptive branch and bound algorithm for selecting optimal features. Pattern Recognit. Lett. 28 (12) (2007)
Yu-Chiang Frank Wang, David P. Casasent
New Weighted Support Vector K-means Clustering for Hierarchical Multi-class Classification. IJCNN (2007)
Yu-Chiang Frank Wang, David P. Casasent
Hierarchical K-means Clustering Using New Support Vector Machines for Multi-class Classification. IJCNN (2006)
Xue-wen Chen, Sun Kim, Vladimir I. Pavlovic, David P. Casasent
Advanced Signal Processing Techniques for Bioinformatics. EURASIP J. Adv. Signal Process. 2006 (2006)
Yu-Chiang Frank Wang, David P. Casasent
A Hierarchical Classifier Using New Support Vector Machine. ICDAR (2005)
David P. Casasent, Yu-Chiang Frank Wang
A hierarchical classifier using new support vector machines for automatic target recognition. Neural Networks 18 (5-6) (2005)
David P. Casasent, Xue-wen Chen
New training strategies for RBF neural networks for X-ray agricultural product inspection. Pattern Recognit. 36 (2) (2003)
David P. Casasent, Xue-wen Chen
Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classification. Neural Networks 16 (5-6) (2003)
Chao Yuan, David P. Casasent
A Novel Support Vector Classifier with Better Rejection Performance. CVPR (1) (2003)
Michael A. Sipe, David P. Casasent
Feature Space Trajectory Methods for Active Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 24 (12) (2002)
Ashit Talukder, David P. Casasent
A closed-form neural network for discriminatory feature extraction from high-dimensional data. Neural Networks 14 (9) (2001)
David M. Weber, David P. Casasent
Quadratic Gabor filters for object detection. IEEE Trans. Image Process. 10 (2) (2001)
Ashit Talukder, David P. Casasent
Neural Net with Adaptive Activation Functions for Face Recognition. IJCNN (3) (2000)
Ashit Talukder, David P. Casasent
Pose-invariant recognition of faces at unknown aspect views. IJCNN (1999)
Michael A. Sipe, David P. Casasent
Global feature space neural network for active object recognition. IJCNN (1999)
Serhat Özdemir, David P. Casasent
Scale-space median and Gabor filtering and fuzzy unification for boundary detection electron microscopy images. NSIP (1999)
David P. Casasent, Westley Cox
Ri-Minace Filters To Augment Segmentation Of Touching Objects. Pattern Recognit. 31 (9) (1998)
Michael A. Sipe, David P. Casasent
Global feature space neural network for active computer vision. Neural Comput. Appl. 7 (3) (1998)
David M. Weber, David P. Casasent
The extended piecewise quadratic neural network. Neural Networks 11 (5) (1998)
Michael A. Sipe, David P. Casasent
Object recognition using appearance representations derived from solid models of objects. Visual Information Processing (1998)
David P. Casasent, Anqi Ye
Detection filters and algorithm fusion for ATR. IEEE Trans. Image Process. 6 (1) (1997)
David P. Casasent, Rajesh Shenoy
Synthetic aperture radar detection and clutter rejection minace filters. Pattern Recognit. 30 (1) (1997)
Bir Bhanu, Dan E. Dudgeon, Edmund G. Zelnio, Azriel Rosenfeld, David P. Casasent, Irving S. Reed
Guest Editorial Introduction To The Special Issue On Automatic Target Detection And Recognition. IEEE Trans. Image Process. 6 (1) (1997)
David P. Casasent, Leonard M. Neiberg
Classifier and shift-invariant automatic target recognition neural networks. Neural Networks 8 (7-8) (1995)
David P. Casasent, Sanjay Natarajan
A classifier neural net with complex-valued weights and square-law nonlinearities. Neural Networks 8 (6) (1995)
Gopalan Ravichandran, David P. Casasent
Advanced In-Plane Rotation-Invariant Correlation Filters. IEEE Trans. Pattern Anal. Mach. Intell. 16 (4) (1994)
Brian A. Telfer, David P. Casasent
Fast Method for Updating Robust Pseudoinverse and Ho-Kashyap Associative Processors. IEEE Trans. Syst. Man Cybern. Syst. 24 (9) (1994)
Brian A. Telfer, David P. Casasent
Minimum-cost associative processor for piecewise-hyperspherical classification. Neural Networks 6 (8) (1993)
David P. Casasent
Multifunctional hybrid neural net. Neural Networks 5 (3) (1992)
David P. Casasent
Optical Processing in Neural Networks. IEEE Expert 7 (5) (1992)
David P. Casasent, Brian A. Telfer
High capacity pattern recognition associative processors. Neural Networks 5 (4) (1992)
Etienne Barnard, David P. Casasent
Invariance and neural nets. IEEE Trans. Neural Networks 2 (5) (1991)
Brian A. Telfer, David P. Casasent
Neural closure associative processor. Neural Networks 4 (5) (1991)
David P. Casasent, Etienne Barnard
Adaptive clustering neural net for piecewise nonlinear discriminant surfaces. IJCNN (1990)
Etienne Barnard, David P. Casasent
Shift invariance and the neocognitron. Neural Networks 3 (4) (1990)
Shiaw-Dong D. Liu, David P. Casasent
Iterative Fisher/minimum-variance optical classifier. Pattern Recognit. 23 (3-4) (1990)
Brian A. Telfer, David P. Casasent
Ho-Kashyap content-addressable associative processors. IJCNN (1990)
Raghu Krishnapuram, David P. Casasent
Determination of Three-Dimensional Object Location and Orientation from Range Images. IEEE Trans. Pattern Anal. Mach. Intell. 11 (11) (1989)
Etienne Barnard, David P. Casasent
A comparison between criterion functions for linear classifiers, with an application to neural nets. IEEE Trans. Syst. Man Cybern. 19 (5) (1989)
Elizabeth C. Botha, Etienne Barnard, David P. Casasent
Optical neural networks for image analysis: imaging spectroscopy and production systems. ICNN (1988)
David P. Casasent, Raghuram Krishnapuram
Reply to David A. Pintsov. Pattern Recognit. 21 (5) (1988)
Raghuram Krishnapuram, David P. Casasent
Hough space transformations for discrimination and distortion estimation. Comput. Vis. Graph. Image Process. 38 (3) (1987)
David P. Casasent, Raghuram Krishnapuram
Curved object location by Hough transformations and inversions. Pattern Recognit. 20 (2) (1987)
David P. Casasent
A review of optical signal processing. IEEE Commun. Mag. 19 (5) (1981)
David P. Casasent
Coherent Optical Computing. Computer 12 (1) (1979)
David P. Casasent, Peter D. Rapp
System Functions for an Optical/Digital Processor. IEEE Trans. Computers 27 (8) (1978)
David P. Casasent, Warren M. Sterling
An Optical/Digital Processor: Hardware and Applications. IEEE Trans. Computers 24 (4) (1975)
James R. Bell, David P. Casasent, Gordon C. Bell
An Investigation of Alternative Cache Organizations. IEEE Trans. Computers 23 (4) (1974)
David P. Casasent
A Hybrid Digital/Optical Computer System. IEEE Trans. Computers 22 (9) (1973)
David P. Casasent, Warren M. Sterling
A register transfer module FFT processor for speech analysis. AFIPS Fall Joint Computing Conference (2) (1972)