| 2008 |
|---|
| 35 | EE | Yu-Chiang Frank Wang,
David Casasent:
Soft-decision hierarchical classification using SVM-type classifiers.
IJCNN 2008: 1793-1800 |
| 34 | EE | Yu-Chiang Frank Wang,
David Casasent:
New support vector-based design method for binary hierarchical classifiers for multi-class classification problems.
Neural Networks 21(2-3): 502-510 (2008) |
| 2007 |
|---|
| 33 | EE | Yu-Chiang Frank Wang,
David Casasent:
New Weighted Support Vector K-means Clustering for Hierarchical Multi-class Classification.
IJCNN 2007: 471-476 |
| 32 | EE | Songyot Nakariyakul,
David Casasent:
Adaptive branch and bound algorithm for selecting optimal features.
Pattern Recognition Letters 28(12): 1415-1427 (2007) |
| 2006 |
|---|
| 31 | EE | Yu-Chiang Frank Wang,
David Casasent:
Hierarchical K-means Clustering Using New Support Vector Machines for Multi-class Classification.
IJCNN 2006: 3457-3464 |
| 2005 |
|---|
| 30 | EE | Yu-Chiang Frank Wang,
David Casasent:
A Hierarchical Classifier Using New Support Vector Machine.
ICDAR 2005: 851-855 |
| 29 | EE | David Casasent,
Yu-Chiang Frank Wang:
A hierarchical classifier using new support vector machines for automatic target recognition.
Neural Networks 18(5-6): 541-548 (2005) |
| 2003 |
|---|
| 28 | EE | Chao Yuan,
David Casasent:
A Novel Support Vector Classifier with Better Rejection Performance.
CVPR (1) 2003: 419-424 |
| 27 | EE | David Casasent,
Xue-wen Chen:
Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classification.
Neural Networks 16(5-6): 529-535 (2003) |
| 26 | EE | David Casasent,
Xue-wen Chen:
New training strategies for RBF neural networks for X-ray agricultural product inspection.
Pattern Recognition 36(2): 535-547 (2003) |
| 2002 |
|---|
| 25 | EE | Michael A. Sipe,
David Casasent:
Feature Space Trajectory Methods for Active Computer Vision.
IEEE Trans. Pattern Anal. Mach. Intell. 24(12): 1634-1643 (2002) |
| 2001 |
|---|
| 24 | EE | David M. Weber,
David Casasent:
Quadratic Gabor filters for object detection.
IEEE Transactions on Image Processing 10(2): 218-230 (2001) |
| 23 | EE | Ashit Talukder,
David Casasent:
A closed-form neural network for discriminatory feature extraction from high-dimensional data.
Neural Networks 14(9): 1201-1218 (2001) |
| 2000 |
|---|
| 22 | EE | Ashit Talukder,
David Casasent:
Neural Net with Adaptive Activation Functions for Face Recognition.
IJCNN (3) 2000: 311-314 |
| 1999 |
|---|
| 21 | | Serhat Özdemir,
David Casasent:
Scale-space median and Gabor filtering and fuzzy unification for boundary detection electron microscopy images.
NSIP 1999: 617-621 |
| 1998 |
|---|
| 20 | EE | David M. Weber,
David Casasent:
The extended piecewise quadratic neural network.
Neural Networks 11(5): 837-850 (1998) |
| 19 | EE | David Casasent,
Westley Cox:
Ri-Minace Filters To Augment Segmentation Of Touching Objects.
Pattern Recognition 31(9): 1311-1317 (1998) |
| 1997 |
|---|
| 18 | EE | Bir Bhanu,
Dan E. Dudgeon,
Edmund G. Zelnio,
Azriel Rosenfeld,
David Casasent,
Irving S. Reed:
Guest Editorial Introduction To The Special Issue On Automatic Target Detection And Recognition.
IEEE Transactions on Image Processing 6(1): 1-6 (1997) |
| 17 | EE | David Casasent,
Anqi Ye:
Detection filters and algorithm fusion for ATR.
IEEE Transactions on Image Processing 6(1): 114-125 (1997) |
| 16 | EE | David Casasent,
Rajesh Shenoy:
Synthetic aperture radar detection and clutter rejection minace filters.
Pattern Recognition 30(1): 151-161 (1997) |
| 1995 |
|---|
| 15 | EE | David Casasent,
Sanjay Natarajan:
A classifier neural net with complex-valued weights and square-law nonlinearities.
Neural Networks 8(6): 989-998 (1995) |
| 14 | EE | David Casasent,
Leonard M. Neiberg:
Classifier and shift-invariant automatic target recognition neural networks.
Neural Networks 8(7-8): 1117-1129 (1995) |
| 1994 |
|---|
| 13 | EE | Gopalan Ravichandran,
David Casasent:
Advanced In-Plane Rotation-Invariant Correlation Filters.
IEEE Trans. Pattern Anal. Mach. Intell. 16(4): 415-420 (1994) |
| 1992 |
|---|
| 12 | EE | David Casasent:
Optical Processing in Neural Networks.
IEEE Expert 7(5): 55-61 (1992) |
| 11 | EE | David Casasent:
Multifunctional hybrid neural net.
Neural Networks 5(3): 361-370 (1992) |
| 10 | EE | David Casasent,
Brian Telfer:
High capacity pattern recognition associative processors.
Neural Networks 5(4): 687-698 (1992) |
| 1991 |
|---|
| 9 | EE | Brian Telfer,
David Casasent:
Neural closure associative processor.
Neural Networks 4(5): 589-598 (1991) |
| 1990 |
|---|
| 8 | EE | Etienne Barnard,
David Casasent:
Shift invariance and the neocognitron.
Neural Networks 3(4): 403-410 (1990) |
| 7 | EE | Shiaw-Dong D. Liu,
David Casasent:
Iterative Fisher/minimum-variance optical classifier.
Pattern Recognition 23(3-4): 385-391 (1990) |
| 1989 |
|---|
| 6 | EE | Raghu Krishnapuram,
David Casasent:
Determination of Three-Dimensional Object Location and Orientation from Range Images.
IEEE Trans. Pattern Anal. Mach. Intell. 11(11): 1158-1167 (1989) |
| 1988 |
|---|
| 5 | EE | David Casasent,
Raghuram Krishnapuram:
Reply to David A. Pintsov.
Pattern Recognition 21(5): 543-544 (1988) |
| 1987 |
|---|
| 4 | EE | Raghuram Krishnapuram,
David Casasent:
Hough space transformations for discrimination and distortion estimation.
Computer Vision, Graphics, and Image Processing 38(3): 299-316 (1987) |
| 3 | EE | David Casasent,
Raghuram Krishnapuram:
Curved object location by Hough transformations and inversions.
Pattern Recognition 20(2): 181-188 (1987) |
| 1978 |
|---|
| 2 | | David Casasent,
Peter D. Rapp:
System Functions for an Optical/Digital Processor.
IEEE Trans. Computers 27(8): 732-738 (1978) |
| 1975 |
|---|
| 1 | | David Casasent,
Warren M. Sterling:
An Optical/Digital Processor: Hardware and Applications.
IEEE Trans. Computers 24(4): 348-358 (1975) |
