2007 |
26 | EE | Harold Szu:
Theories of Neural Networks Leading to Unsupervised Learning.
IJCNN 2007: 3116-3123 |
25 | EE | Lidan Miao,
Hairong Qi,
Harold Szu:
A Maximum Entropy Approach to Unsupervised Mixed-Pixel Decomposition.
IEEE Transactions on Image Processing 16(4): 1008-1021 (2007) |
2006 |
24 | EE | Lidan Miao,
Hairong Qi,
Harold Szu:
Unsupervised Decomposition of Mixed Pixels Using the Maximum Entropy Principle.
ICPR (1) 2006: 1067-1070 |
23 | EE | Liang Zhao,
Juan C. G. Cáceres,
Antonio P. G. Damiance,
Harold Szu:
Chaotic dynamics for multi-value content addressable memory.
Neurocomputing 69(13-15): 1628-1636 (2006) |
2005 |
22 | EE | Harold Szu,
Ivica Kopriva:
Unsupervised learning with stochastic gradient.
Neurocomputing 68: 130-160 (2005) |
2004 |
21 | EE | Ivica Kopriva,
Harold Szu:
Space-Time Variant Blind Source Separation with Additive Noise.
ICA 2004: 240-247 |
20 | EE | Jiantao Zhou,
Qinzhen Xu,
Wenjiang Pei,
Zhenya He,
Harold Szu:
Step to improve neural cryptography against flipping attacks.
Int. J. Neural Syst. 14(6): 393-405 (2004) |
2003 |
19 | EE | Harold Szu,
Steven Noel,
Seong-Bin Yim,
Jeff Willey,
Joe Landa:
Multimedia authenticity protection with ICA watermarking and digital bacteria vaccination.
Neural Networks 16(5-6): 907-914 (2003) |
2002 |
18 | | Harold Szu:
Unsupervised Learning by Energy-Spectral-ICA: from tanks to tumors.
FSKD 2002: 9-10 |
17 | | Ha Vu Le,
Guna Seetharaman,
Harold Szu:
Video-Assisted Global Positioning in Terrain Navigation: Hough Transform Solution.
ICVGIP 2002 |
16 | EE | Harold Szu,
Pornchai Chanyagorn,
Ivica Kopriva:
Sparse coding blind source separation through Powerl.
Neurocomputing 48(1-4): 1015-1020 (2002) |
1999 |
15 | EE | Harold Szu:
Thermodynamics Energy for both Supervised and Unsupervised Learning Neural Nets at a Constant Temperature.
Int. J. Neural Syst. 9(3): 175-186 (1999) |
1998 |
14 | | Harold Szu:
Barin-Style Information Processing in the Next Century - Pro & Con in Supervised versus Unsupervised Learnings.
ICONIP 1998: 11-12 |
13 | | Harold Szu,
Charles Hsu,
Takeshi Yamakawa:
Progress of Unsupervised Learning of Early Vision.
ICONIP 1998: 303-306 |
12 | | Harold Szu,
Charles Hsu,
Takeshi Yamakawa:
Progress in Unsupervised Neural Nets for Blind Communication De-Mixing.
ICONIP 1998: 887-890 |
1996 |
11 | EE | Harold Szu,
Brian A. Telfer,
Joseph Garcia:
Wavelet transforms and neural networks for compression and recognition.
Neural Networks 9(4): 695-708 (1996) |
1995 |
10 | | Simon Y. Foo,
Yoshiyasu Takefuji,
Harold Szu:
Scaling properties of neural networks for job-shop scheduling.
Neurocomputing 8(1): 79-91 (1995) |
9 | EE | Harold Szu,
Simon Y. Foo:
Divide and conquer orthogonality principle for parallel optimizations in TSP.
Neurocomputing 8(3): 249-261 (1995) |
1994 |
8 | | Harold Szu:
Intelligent Neural Networks using Smart Wavelets Preprocessing.
ICTAI 1994: 348-349 |
7 | EE | Brian A. Telfer,
Harold Szu:
Energy functions for minimizing misclassification error with minimum-complexity networks.
Neural Networks 7(5): 809-817 (1994) |
6 | | Vidya Sagar,
Garry M. Jacyna,
Harold Szu:
Block-parallel decoding of convolutional codes using neural network decoders.
Neurocomputing 6(4): 455-471 (1994) |
5 | | Harold Szu,
Jung Hwan Kim,
Insook Kim:
Live neural network formations on electronic chips.
Neurocomputing 6(5): 551-564 (1994) |
1990 |
4 | EE | M. Cader,
D. Benachenhou,
Larry R. Medsker,
Harold Szu:
External and Internal Representations Appropriate for ART Neural Networks.
ACM SIGBDP Conference on Trends and Directions in Expert Systems 1990: 447-454 |
3 | | Harold Szu:
Nongeometric and nonparametric pattern recognitions using smarter neurons for size-limited nets.
Neurocomputing 2(2): 67-69 (1990) |
2 | | Harold Szu:
High temperature superconductor neurocomputing.
Neurocomputing 2(3): 105-117 (1990) |
1989 |
1 | | Harold Szu:
Future Perspectives on Neural Network Research.
Neurocomputing 1(1): 37-43 (1989) |