David P. Casasent

66 papers A 1B 12C 1Journal 40Unranked 6

Year	Rank	Type	Title / Venue / Authors
2015	—	`ed.`	Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques, San Francisco, California, USA, February 8-12, 2015 Intelligent Robots and Computer Vision: Algorithms and Techniques Juha Röning, David P. Casasent
2014	—	`ed.`	Intelligent Robots and Computer Vision XXXI: Algorithms and Techniques, San Francisco, California, USA, February 2-6, 2014 Intelligent Robots and Computer Vision: Algorithms and Techniques Juha Röning, David P. Casasent
2013	—	`ed.`	Intelligent Robots and Computer Vision XXX: Algorithms and Techniques, Burlingame, California, USA, February 3-7, 2013 Intelligent Robots and Computer Vision: Algorithms and Techniques Juha Röning, David P. Casasent
2012	—	`ed.`	Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques, Burlingame, California, USA, January 22-26, 2012 Intelligent Robots and Computer Vision: Algorithms and Techniques Juha Röning, David P. Casasent
2011	—	`ed.`	Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques, San Francisco Airport, California, USA, January 23-27, 2011 Intelligent Robots and Computer Vision: Algorithms and Techniques Juha Röning, David P. Casasent, Ernest L. Hall
2009	B	`conf`	A support vector hierarchical method for multi-class classification and rejection. IJCNN Yu-Chiang Frank Wang, David P. Casasent
2009	J	`jnl`	An improvement on floating search algorithms for feature subset selection. Pattern Recognit. Songyot Nakariyakul, David P. Casasent
2008	J	`jnl`	New support vector-based design method for binary hierarchical classifiers for multi-class classification problems. Neural Networks Yu-Chiang Frank Wang, David P. Casasent
2008	C	`ed.`	Seventh International Conference on Machine Learning and Applications, ICMLA 2008, San Diego, California, USA, 11-13 December 2008 ICMLA M. Arif Wani, Xue-wen Chen, David P. Casasent, Lukasz A. Kurgan, Tony Hu, Khalid Hafeez
2008	B	`conf`	Soft-decision hierarchical classification using SVM-type classifiers. IJCNN Yu-Chiang Frank Wang, David P. Casasent
2007	J	`jnl`	Adaptive branch and bound algorithm for selecting optimal features. Pattern Recognit. Lett. Songyot Nakariyakul, David P. Casasent
2007	B	`conf`	New Weighted Support Vector K-means Clustering for Hierarchical Multi-class Classification. IJCNN Yu-Chiang Frank Wang, David P. Casasent
2006	J	`jnl`	Advanced Signal Processing Techniques for Bioinformatics. EURASIP J. Adv. Signal Process. Xue-wen Chen, Sun Kim, Vladimir I. Pavlovic, David P. Casasent
2006	B	`conf`	Hierarchical K-means Clustering Using New Support Vector Machines for Multi-class Classification. IJCNN Yu-Chiang Frank Wang, David P. Casasent
2005	A	`conf`	A Hierarchical Classifier Using New Support Vector Machine. ICDAR Yu-Chiang Wang, David P. Casasent
2005	J	`jnl`	A hierarchical classifier using new support vector machines for automatic target recognition. Neural Networks David P. Casasent, Yu-Chiang Wang
2005	B	`conf`	Automatic target recognition using new support vector machine. IJCNN David P. Casasent, Yu-Chiang Wang
2005	B	`conf`	Pruning support vectors for imbalanced data classification. IJCNN Xue-wen Chen, Byron Gerlach, David P. Casasent
2003	—	`conf`	A Novel Support Vector Classifier with Better Rejection Performance. CVPR (1) Chao Yuan, David P. Casasent
2003	B	`conf`	Confidence-clustering supervised radial basis function neural networks. IJCNN David P. Casasent, Xue-wen Chen
2003	J	`jnl`	New training strategies for RBF neural networks for X-ray agricultural product inspection. Pattern Recognit. David P. Casasent, Xue-wen Chen
2003	J	`jnl`	Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classification. Neural Networks David P. Casasent, Xue-wen Chen
2003	B	`conf`	Support vector machines for class representation and discrimination. IJCNN Chao Yuan, David P. Casasent
2002	J	`jnl`	Feature Space Trajectory Methods for Active Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. Michael A. Sipe, David P. Casasent
2001	J	`jnl`	A closed-form neural network for discriminatory feature extraction from high-dimensional data. Neural Networks Ashit Talukder, David P. Casasent
2001	J	`jnl`	Quadratic Gabor filters for object detection. IEEE Trans. Image Process. David M. Weber, David P. Casasent
2000	—	`conf`	Neural Net with Adaptive Activation Functions for Face Recognition. IJCNN (3) Ashit Talukder, David P. Casasent
1999	B	`conf`	Global feature space neural network for active object recognition. IJCNN Michael A. Sipe, David P. Casasent
1999	B	`conf`	Pose-invariant recognition of faces at unknown aspect views. IJCNN Ashit Talukder, David P. Casasent
1999	—	`conf`	Scale-space median and Gabor filtering and fuzzy unification for boundary detection electron microscopy images. NSIP Serhat Özdemir, David P. Casasent
1998	J	`jnl`	Global feature space neural network for active computer vision. Neural Comput. Appl. Michael A. Sipe, David P. Casasent
1998	—	`conf`	Object recognition using appearance representations derived from solid models of objects. Visual Information Processing Michael A. Sipe, David P. Casasent
1998	J	`jnl`	Ri-Minace Filters To Augment Segmentation Of Touching Objects. Pattern Recognit. David P. Casasent, Westley Cox
1998	J	`jnl`	The extended piecewise quadratic neural network. Neural Networks David M. Weber, David P. Casasent
1997	J	`jnl`	Detection filters and algorithm fusion for ATR. IEEE Trans. Image Process. David P. Casasent, Anqi Ye
1997	J	`jnl`	Guest Editorial Introduction To The Special Issue On Automatic Target Detection And Recognition. IEEE Trans. Image Process. Bir Bhanu, Dan E. Dudgeon, Edmund G. Zelnio, Azriel Rosenfeld, David P. Casasent, Irving S. Reed
1997	J	`jnl`	Synthetic aperture radar detection and clutter rejection minace filters. Pattern Recognit. David P. Casasent, Rajesh Shenoy
1995	J	`jnl`	A classifier neural net with complex-valued weights and square-law nonlinearities. Neural Networks David P. Casasent, Sanjay Natarajan
1995	J	`jnl`	Classifier and shift-invariant automatic target recognition neural networks. Neural Networks David P. Casasent, Leonard M. Neiberg
1994	J	`jnl`	Advanced In-Plane Rotation-Invariant Correlation Filters. IEEE Trans. Pattern Anal. Mach. Intell. Gopalan Ravichandran, David P. Casasent
1994	J	`jnl`	Fast Method for Updating Robust Pseudoinverse and Ho-Kashyap Associative Processors. IEEE Trans. Syst. Man Cybern. Syst. Brian A. Telfer, David P. Casasent
1994	J	`jnl`	General-purpose optical pattern recognition image processors. Proc. IEEE David P. Casasent
1993	J	`jnl`	Minimum-cost associative processor for piecewise-hyperspherical classification. Neural Networks Brian A. Telfer, David P. Casasent
1993	—	`ch.`	Optical Pattern Recognition for Computer Vision. Handbook of Pattern Recognition and Computer Vision David P. Casasent
1992	J	`jnl`	High capacity pattern recognition associative processors. Neural Networks David P. Casasent, Brian A. Telfer
1992	J	`jnl`	Multifunctional hybrid neural net. Neural Networks David P. Casasent
1992	J	`jnl`	Optical Processing in Neural Networks. IEEE Expert David P. Casasent
1991	J	`jnl`	Invariance and neural nets. IEEE Trans. Neural Networks Etienne Barnard, David P. Casasent
1991	J	`jnl`	Neural closure associative processor. Neural Networks Brian A. Telfer, David P. Casasent
1990	B	`conf`	Adaptive clustering neural net for piecewise nonlinear discriminant surfaces. IJCNN David P. Casasent, Etienne Barnard
1990	B	`conf`	Ho-Kashyap content-addressable associative processors. IJCNN Brian A. Telfer, David P. Casasent
1990	J	`jnl`	Iterative Fisher/minimum-variance optical classifier. Pattern Recognit. Shiaw-Dong D. Liu, David P. Casasent
1990	J	`jnl`	Shift invariance and the neocognitron. Neural Networks Etienne Barnard, David P. Casasent
1989	J	`jnl`	A comparison between criterion functions for linear classifiers, with an application to neural nets. IEEE Trans. Syst. Man Cybern. Etienne Barnard, David P. Casasent
1989	J	`jnl`	Determination of Three-Dimensional Object Location and Orientation from Range Images. IEEE Trans. Pattern Anal. Mach. Intell. Raghu Krishnapuram, David P. Casasent
1988	—	`conf`	Optical neural networks for image analysis: imaging spectroscopy and production systems. ICNN Elizabeth C. Botha, Etienne Barnard, David P. Casasent
1988	J	`jnl`	Reply to David A. Pintsov. Pattern Recognit. David P. Casasent, Raghuram Krishnapuram
1987	J	`jnl`	Curved object location by Hough transformations and inversions. Pattern Recognit. David P. Casasent, Raghuram Krishnapuram
1987	J	`jnl`	Hough space transformations for discrimination and distortion estimation. Comput. Vis. Graph. Image Process. Raghuram Krishnapuram, David P. Casasent
1981	J	`jnl`	A review of optical signal processing. IEEE Commun. Mag. David P. Casasent
1979	J	`jnl`	Coherent Optical Computing. Computer David P. Casasent
1978	J	`jnl`	System Functions for an Optical/Digital Processor. IEEE Trans. Computers David P. Casasent, Peter D. Rapp
1975	J	`jnl`	An Optical/Digital Processor: Hardware and Applications. IEEE Trans. Computers David P. Casasent, Warren M. Sterling
1974	J	`jnl`	An Investigation of Alternative Cache Organizations. IEEE Trans. Computers James R. Bell, David P. Casasent, Gordon C. Bell
1973	J	`jnl`	A Hybrid Digital/Optical Computer System. IEEE Trans. Computers David P. Casasent
1972	—	`conf`	A register transfer module FFT processor for speech analysis. AFIPS Fall Joint Computing Conference (2) David P. Casasent, Warren M. Sterling