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Andrew H. Sung
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2020 – today
- 2024
- [c100]Md. Shohel Rana, Mohammad Nur Nobi, Andrew H. Sung:
DeepDistAL: Deepfake Dataset Distillation using Active Learning. CVPR Workshops 2024: 7723-7730 - [c99]Md. Shohel Rana
, Andrew H. Sung:
Advanced Deepfake Detection using Machine Learning Algorithms: A Statistical Analysis and Performance Comparison. ICICT 2024: 75-81 - [e7]Hongxin Hu, Andrew H. Sung, Rakesh M. Verma
Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics, IWSPA 2024, Porto, Portugal, 21 June 2024. ACM 2024 [contents] - [i3]Amartya Hatua, Trung T. Nguyen
Machine Unlearning using a Multi-GAN based Model. CoRR abs/2407.18467 (2024) - 2023
- [c98]Md. Shohel Rana
Deepfake Detection: A Tutorial. IWSPA@CODASPY 2023: 55-56 - [c97]Charan Gudla, Andrew H. Sung:
Host IP Obfuscation and Performance Analysis. ICR 2023: 245-255 - [c96]Trung T. Nguyen
How to Detect AI-Generated Texts? UEMCON 2023: 464-471 - [e6]David J. Marchette, Andrew H. Sung, Rakesh M. Verma:
Proceedings of the 9th ACM International Workshop on Security and Privacy Analytics, IWSPA@CODASPY 2023, Charlotte, NC, USA, 26 April 2023. ACM 2023 [contents] - [i2]Boluwatife E. Faremi, Jonathon Stavres, Nuno Oliveira, Zhaoxian Zhou
Enhancing Machine Learning Performance with Continuous In-Session Ground Truth Scores: Pilot Study on Objective Skeletal Muscle Pain Intensity Prediction. CoRR abs/2308.00886 (2023) - 2022
- [j23]Md. Shohel Rana
Deepfake Detection: A Systematic Literature Review. IEEE Access 10: 25494-25513 (2022) - [e5]Andrew H. Sung, Rakesh M. Verma, Roland H. C. Yap:
IWSPA@CODASPY 2022: Proceedings of the 2022 ACM on International Workshop on Security and Privacy Analytics, Baltimore, MD, USA, April 27, 2022. ACM 2022, ISBN 978-1-4503-9230-3 [contents] - [e4]Simone Santini, Andrew H. Sung:
Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications, SIGMAP 2022, Lisbon, Portugal, July 14-16, 2022. SCITEPRESS 2022, ISBN 978-989-758-591-3 [contents] - 2021
- [e3]Chilukuri K. Mohan, Andrew H. Sung:
IWSPA@CODASPY 2021: ACM Workshop on Security and Privacy Analytics, Virtual Event, USA, April 28, 2021. ACM 2021, ISBN 978-1-4503-8320-2 [contents] - [e2]Simone Santini, Andrew H. Sung:
Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications, SIGMAP 2021, Online Streaming, July 6-8, 2021. SCITEPRESS 2021, ISBN 978-989-758-525-8 [contents] - 2020
- [j22]Md. Shohel Rana
Evaluation of Advanced Ensemble Learning Techniques for Android Malware Detection. Vietnam. J. Comput. Sci. 7(02): 145-159 (2020) - [c95]Md. Shohel Rana
DeepfakeStack: A Deep Ensemble-based Learning Technique for Deepfake Detection. CSCloud/EdgeCom 2020: 70-75
2010 – 2019
- 2019
- [c94]Pujan Paudel, Trung T. Nguyen
How the tables have turned: studying the new wave of social bots on Twitter using complex network analysis techniques. ASONAM 2019: 501-508 - [c93]Pujan Paudel, Amartya Hatua, Trung T. Nguyen
User Level Multi-feed Weighted Topic Embeddings for Studying Network Interaction in Twitter. BigData 2019: 80-94 - [c92]Trung T. Nguyen
Blockchain Approach to Solve Collective Decision Making Problems for Swarm Robotics. BLOCKCHAIN 2019: 118-125 - [c91]Amartya Hatua, Trung T. Nguyen
Goal-Oriented Conversational System Using Transfer Learning and Attention Mechanism. UEMCON 2019: 99-104 - [c90]Trung T. Nguyen
Cumulative Training and Transfer Learning for Multi-Robots Collision-Free Navigation Problems. UEMCON 2019: 305-311 - 2018
- [c89]Md. Shohel Rana
Evaluation of Tree Based Machine Learning Classifiers for Android Malware Detection. ICCCI (2) 2018: 377-385 - [c88]Md. Shohel Rana
Evaluating Machine Learning Models for Android Malware Detection: A Comparison Study. ICNCC 2018: 17-21 - 2017
- [c87]Amartya Hatua, Trung T. Nguyen
Information Diffusion on Twitter: Pattern Recognition and Prediction of Volume, Sentiment, and Influence. BDCAT 2017: 157-167 - [c86]José Silva, Bernardete Ribeiro
Finding the Critical Sampling of Big Datasets. Conf. Computing Frontiers 2017: 355-360 - 2016
- [c85]Qingzhong Liu, Andrew H. Sung, Bing Zhou, Mengyu Qiao:
Exposing Inpainting Forgery in JPEG Images under Recompression Attacks. ICMLA 2016: 164-169 - [c84]Mengyu Qiao, Andrew H. Sung, Qingzhong Liu
Merging Permission and API Features for Android Malware Detection. IIAI-AAI 2016: 566-571 - [c83]Andrew H. Sung, Bernardete Ribeiro
Sampling and Evaluating the Big Data for Knowledge Discovery. IoTBD 2016: 378-382 - 2015
- [j21]Qingzhong Liu
A Method to Detect AAC Audio Forgery. EAI Endorsed Trans. Security Safety 2(6): e1 (2015) - [c82]Mengyu Qiao, Suiyuan Zhang, Andrew H. Sung, Qingzhong Liu
A Novel Touchscreen-Based Authentication Scheme Using Static and Dynamic Hand Biometrics. COMPSAC 2015: 494-503 - [c81]Bernardete Ribeiro, Andrew H. Sung, Divya Suryakumar, Ram B. Basnet:
The Critical Feature Dimension and Critical Sampling Problems. ICPRAM (1) 2015: 360-366 - [p2]Qingzhong Liu
Exposing Image Tampering with the Same Quantization Matrix. Multimedia Data Mining and Analytics 2015: 327-343 - 2014
- [j20]Ram B. Basnet, Andrew H. Sung:
Learning to Detect Phishing Webpages. J. Internet Serv. Inf. Secur. 4(3): 21-39 (2014) - [c80]Qingzhong Liu
Mining the Big Data: The Critical Feature Dimension Problem. IIAI-AAI 2014: 499-504 - 2013
- [j19]Qingzhong Liu
Detection of JPEG double compression and identification of smartphone image source and post-capture manipulation. Appl. Intell. 39(4): 705-726 (2013) - [j18]Mengyu Qiao, Andrew H. Sung, Qingzhong Liu
MP3 audio steganalysis. Inf. Sci. 231: 123-134 (2013) - 2012
- [c79]Ram B. Basnet, Andrew H. Sung:
Mining Web to Detect Phishing URLs. ICMLA (1) 2012: 568-573 - [c78]Ram B. Basnet, Andrew H. Sung, Qingzhong Liu
Feature Selection for Improved Phishing Detection. IEA/AIE 2012: 252-261 - [c77]Qingzhong Liu
Identification of Smartphone-Image Source and Manipulation. IEA/AIE 2012: 262-271 - [c76]Divya Suryakumar, Andrew H. Sung, Qingzhong Liu
Dependance of critical dimension on learning machines and ranking methods. IRI 2012: 738-739 - [c75]Divya Suryakumar, Andrew H. Sung, Subhasish Mazumdar, Qingzhong Liu
Model evaluation of datasets using critical dimension model invariants. ISDA 2012: 740-745 - 2011
- [j17]Qingzhong Liu
Neighboring joint density-based JPEG steganalysis. ACM Trans. Intell. Syst. Technol. 2(2): 16:1-16:16 (2011) - [j16]Qingzhong Liu
Derivative-based audio steganalysis. ACM Trans. Multim. Comput. Commun. Appl. 7(3): 18:1-18:19 (2011) - [c74]Mengyu Qiao, Andrew H. Sung, Qingzhong Liu, Bernardete Ribeiro:
Locating Information-hiding in MP3 Audio. ICAART (1) 2011: 504-507 - [c73]Qingzhong Liu
A JPEG-based statistically invisible steganography. ICIMCS 2011: 78-81 - [c72]Divya Suryakumar, Andrew H. Sung, Qingzhong Liu
Determine the Critical dimension in data mining (experiments with bioinformatics datasets). ISDA 2011: 481-486 - [c71]Qingzhong Liu
A Method to Detect JPEG-Based Double Compression. ISNN (2) 2011: 466-476 - 2010
- [j15]Qingzhong Liu
Detection of Double MP3 Compression. Cogn. Comput. 2(4): 291-296 (2010) - [j14]Qingzhong Liu
An improved approach to steganalysis of JPEG images. Inf. Sci. 180(9): 1643-1655 (2010) - [c70]Mengyu Qiao, Andrew H. Sung, Qingzhong Liu
Predicting embedding strength in audio steganography. IEEE ICCI 2010: 925-930 - [c69]Mengyu Qiao, Andrew H. Sung, Qingzhong Liu
Revealing real quality of double compressed MP3 audio. ACM Multimedia 2010: 1011-1014
2000 – 2009
- 2009
- [j13]Qingzhong Liu, Mengyu Qiao, Andrew H. Sung:
Distance metric learning and support vector machines for classification of mass spectrometry proteomics data. Int. J. Knowl. Eng. Soft Data Paradigms 1(3): 216-226 (2009) - [j12]Qingzhong Liu
Temporal derivative-based spectrum and mel-cepstrum audio steganalysis. IEEE Trans. Inf. Forensics Secur. 4(3): 359-368 (2009) - [c68]Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, Mengyu Qiao:
Classification of Mass Spectrometry Data - Using Manifold and Supervised Distance Metric Learning. BIOSIGNALS 2009: 396-401 - [c67]Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, Bernardete Ribeiro:
Using Expanded Markov Process and Joint Distribution Features for JPEG Steganalysis. ICAART 2009: 226-231 - [c66]Mengyu Qiao, Andrew H. Sung, Qingzhong Liu
Feature Mining and Intelligent Computing for MP3 Steganalysis. IJCBS 2009: 627-630 - [c65]Mengyu Qiao, Andrew H. Sung, Qingzhong Liu
Steganalysis of MP3Stego. IJCNN 2009: 2566-2571 - [c64]Qingzhong Liu
Spectrum Steganalysis of WAV Audio Streams. MLDM 2009: 582-593 - [c63]Qingzhong Liu
A new approach for JPEG resize and image splicing detection. MiFor@MM 2009: 43-48 - [c62]Qingzhong Liu
Novel stream mining for audio steganalysis. ACM Multimedia 2009: 95-104 - [c61]Qingzhong Liu
Improved detection and evaluation for JPEG steganalysis. ACM Multimedia 2009: 873-876 - 2008
- [j11]Qingzhong Liu
Image complexity and feature mining for steganalysis of least significant bit matching steganography. Inf. Sci. 178(1): 21-36 (2008) - [j10]Qingzhong Liu
Feature mining and pattern classification for steganalysis of LSB matching steganography in grayscale images. Pattern Recognit. 41(1): 56-66 (2008) - [j9]Anthonius Sulaiman, Srinivas Mukkamala, Andrew H. Sung:
SQL infections through RFID. J. Comput. Virol. 4(4): 347-356 (2008) - [c60]Anthonius Sulaiman, Madhu K. Shankarapani, Srinivas Mukkamala, Andrew H. Sung:
RFID malware fragmentation attacks. CTS 2008: 533-539 - [c59]Qingzhong Liu
Distance Metric Learning and Support Vector Machines for Classification of Mass Spectrometry Proteomics Data. ICMLA 2008: 631-636 - [c58]Qingzhong Liu
Video Steganalysis Based on the Expanded Markov and Joint Distribution on the Transform Domains Detecting MSU StegoVideo. ICMLA 2008: 671-674 - [c57]Bernardete Ribeiro
Learning Manifolds for Bankruptcy Analysis. ICONIP (1) 2008: 723-730 - [c56]Qingzhong Liu
Detecting information-hiding in WAV audios. ICPR 2008: 1-4 - [c55]Rita Ferreira, Bernardete Ribeiro
Building resilient classifiers for LSB matching steganography. IJCNN 2008: 1562-1567 - [c54]Qingzhong Liu
Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting. IJCNN 2008: 3352-3357 - [c53]Ashwin Tamilarasan, Madhu K. Shankarapani, Xiao Qin, Srinivas Mukkamala, Andrew H. Sung:
Integrating energy efficiency and security for storage systems. SMC 2008: 2396-2400 - [p1]Ram B. Basnet, Srinivas Mukkamala, Andrew H. Sung:
Detection of Phishing Attacks: A Machine Learning Approach. Soft Computing Applications in Industry 2008: 373-383 - 2007
- [j8]Jianyun Xu, Andrew H. Sung, Qingzhong Liu:
Behaviour Mining for Fraud Detection. J. Res. Pract. Inf. Technol. 39(1): 3-18 (2007) - [j7]Jianyun Xu, Andrew H. Sung, Srinivas Mukkamala, Qingzhong Liu:
Obfuscated Malicious Executable Scanner. J. Res. Pract. Inf. Technol. 39(3): 181-198 (2007) - [j6]Srinivas Mukkamala, Andrew H. Sung, Ajith Abraham:
Hybrid multi-agent framework for detection of stealthy probes. Appl. Soft Comput. 7(3): 631-641 (2007) - [j5]Mingzhen Wei, Baojun Bai, Andrew H. Sung, Qingzhong Liu
Predicting injection profiles using ANFIS. Inf. Sci. 177(20): 4445-4461 (2007) - [c52]Srinivas Mukkamala, Krishna Yendrapalli, Ram B. Basnet, Andrew H. Sung:
Detecting Coordinated Distributed Multiple Attacks. AINA Workshops (1) 2007: 557-562 - [c51]Catarina Silva
Boosting RVM Classifiers for Large Data Sets. ICANNGA (2) 2007: 228-237 - [c50]Rajani Goteti, Ashwin Tamilarasan, R. S. Balch, Srinivas Mukkamala, Andrew H. Sung:
Estimating Monthly Production of Oil Wells. IFSA (2) 2007: 393-403 - [c49]Ram B. Basnet, Krishna Yendrapalli, Tenzin Doleck, Srinivas Mukkamala, Andrew H. Sung:
Knowledge Based Discovery of Phishing Attacks. IICAI 2007: 731-742 - [c48]Qingzhong Liu, Andrew H. Sung:
Feature Mining and Neuro-Fuzzy Inference System for Steganalysis of LSB Matching Stegangoraphy in Grayscale Images. IJCAI 2007: 2808-2813 - [c47]Krishna Yendrapalli, Ram B. Basnet, Srinivas Mukkamala, Andrew H. Sung:
Gene Selection for Tumor Classification Using Microarray Gene Expression Data. World Congress on Engineering 2007: 290-295 - [c46]Krishna Yendrapalli, Srinivas Mukkamala, Andrew H. Sung, Bernardete Ribeiro:
Biased Support Vector Machines and Kernel Methods for Intrusion Detection. World Congress on Engineering 2007: 321-325 - [e1]Mislav Grgic, Andrew H. Sung, Guoyin Wang:
International Conference on High Performance Computing, Networking and Communication Systems, HPCNCS-07, Orlando, Florida, USA, July 9-12 2007. ISRST 2007, ISBN 978-0-9727412-5-5 [contents] - 2006
- [j4]Mingzhen Wei, Andrew H. Sung, Martha E. Cather:
Improving database quality through eliminating duplicate records. Data Sci. J. 5: 127-142 (2006) - [j3]Tao Xie, Xiao Qin, Andrew H. Sung, Man Lin, Laurence Tianruo Yang:
Real-time scheduling with quality of security constraints. Int. J. High Perform. Comput. Netw. 4(3/4): 188-197 (2006) - [c45]Patrick Defibaugh-Chavez, Srinivas Mukkamala, Andrew H. Sung:
Efficacy of Coordinated Distributed Multiple Attacks (A Proactive Approach to Cyber Defense). AINA (2) 2006: 10-14 - [c44]Srinivas Mukkamala, Qingzhong Liu
Feature Selection and Ranking of Key Genes for Tumor Classification: Using Microarray Gene Expression Data. ICAISC 2006: 951-961 - [c43]Qingzhong Liu
Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography. ICPR (2) 2006: 267-270 - [c42]Jianyun Xu, Andrew H. Sung, Qingzhong Liu
Tree Based Behavior Monitoring for Adaptive Fraud Detection. ICPR (1) 2006: 1208-1211 - [c41]Srinivas Mukkamala, Dennis Xu, Andrew H. Sung:
Intrusion Detection Based on Behavior Mining and Machine Learning Techniques. IEA/AIE 2006: 619-628 - [c40]Qingzhong Liu
Recursive Feature Addition for Gene Selection. IJCNN 2006: 1360-1367 - [c39]Ashwin Tamilarasan, Srinivas Mukkamala, Andrew H. Sung, Krishna Yendrapalli:
Feature Ranking and Selection for Intrusion Detection Using Artificial Neural Networks and Statistical Methods. IJCNN 2006: 4754-4761 - [c38]Qingzhong Liu
Microarray Gene Expression Classification Based on Supervised Learning and Similarity Measures. SMC 2006: 5094-5099 - 2005
- [j2]Srinivas Mukkamala, Andrew H. Sung, Ajith Abraham:
Intrusion detection using an ensemble of intelligent paradigms. J. Netw. Comput. Appl. 28(2): 167-182 (2005) - [c37]Jianyun Xu, Andrew H. Sung, Qingzhong Liu:
Online Fraud Detection System Based on Non-Stationery Anomaly Detection. Security and Management 2005: 364-370 - [c36]Mingzhen Wei, Andrew H. Sung, Martha E. Cather:
A New Domain-Independent Field Matching Algorithm for Large Databases. DMIN 2005: 126-131 - [c35]Andrew H. Sung, Xiao Qin, Tao Xie:
Integrating Security Requirements into Scheduling for Real-Time Applications in Grid Computing. GCA 2005: 24-30 - [c34]Tao Xie, Xiao Qin, Andrew H. Sung:
SAREC: A Security-Aware Scheduling Strategy for Real-Time Applications on Clusters. ICPP 2005: 5-12 - [c33]Jianyun Xu, Andrew H. Sung, Qingzhong Liu, Srinivas Mukkamala:
Fraud Detection System Based on Behavior Mining and Anomaly Detection. IICAI 2005: 3487-3501 - [c32]Tao Xie, Andrew H. Sung, Xiao Qin:
Dynamic Task Scheduling with Security Awareness in Real-Time Systems. IPDPS 2005 - [c31]Anthonius Sulaiman, K. Ramamoorthy, Srinivas Mukkamala, Andrew H. Sung:
Disassembled code analyzer for malware (DCAM). IRI 2005: 398-403 - 2004
- [c30]Andrew H. Sung, Jianyun Xu, Patrick Chavez, Srinivas Mukkamala:
Static Analyzer of Vicious Executables (SAVE). ACSAC 2004: 326-334 - [c29]Andrew H. Sung, Srinivas Mukkamala:
The Feature Selection and Intrusion Detection Problems. ASIAN 2004: 468-482 - [c28]Jianyun Xu, Andrew H. Sung, Qingzhong Liu:
Detecting Hidden Information in the Wavelet Domain. CISST 2004: 571-577 - [c27]Jianyun Xu, Andrew H. Sung, Patrick Chavez, Srinivas Mukkamala:
Polymorphic Malicious Executable Scanner by API Sequence Analysis. HIS 2004: 378-383 - [c26]Patrick Defibaugh-Chavez, Srinivas Mukkamala, Andrew H. Sung:
Website Visitor Classification Using Machine Learning. HIS 2004: 384-389 - [c25]Srinivas Mukkamala, Andrew H. Sung, Ajith Abraham, Vitorino Ramos:
Intrusion Detection Systems Using Adaptive Regression Splines. ICEIS (3) 2004: 26-33 - [c24]Srinivas Mukkamala, Andrew H. Sung, Ajith Abraham, Vitorino Ramos:
Intrusion Detection Systems Using Adaptive Regression Spines. ICEIS (Selected Papers) 2004: 211-218 - [c23]Srinivas Mukkamala, Andrew H. Sung:
Computational Intelligent Techniques for Detecting Denial of Service Attacks. IEA/AIE 2004: 616-624 - [c22]Srinivas Mukkamala, Andrew H. Sung, Ajith Abraham:
Modeling Intrusion Detection Systems Using Linear Genetic Programming Approach. IEA/AIE 2004: 633-642 - [c21]Mingzhen Wei, Andrew H. Sung, Martha E. Cather:
Detecting Spatial Outliers Using Bipartite Outlier Detection Methods. IKE 2004: 236-244 - [c20]Andrew H. Sung, Gopalakrishna Reddy Tadiparthi, Srinivas Mukkamala:
Defeating the Current Steganalysis Techniques (Robust Steganography). ITCC (1) 2004: 440-444 - [c19]Jianyun Xu, Andrew H. Sung, Peipei Shi, Qingzhong Liu
JPEG Compression Immune Steganography Using Wavelet Transform. ITCC (2) 2004: 704-708 - [c18]Srinivas Mukkamala, Andrew H. Sung:
A framework for countering denial of service attacks. SMC (4) 2004: 3273-3278 - [i1]Srinivas Mukkamala, Andrew H. Sung, Ajith Abraham, Vitorino Ramos:
Intrusion Detection Systems Using Adaptive Regression Splines. CoRR cs.AI/0405016 (2004) - 2003
- [j1]Srinivas Mukkamala, Andrew H. Sung:
Identifying Significant Features for Network Forensic Analysis Using Artificial Intelligence Techniques. Int. J. Digit. EVid. 1(4) (2003) - [c17]Srinivas Mukkamala, Andrew H. Sung:
Detecting denial of service attacks using support vector machines. FUZZ-IEEE 2003: 1231-1236 - [c16]Srinivas Mukkamala, Andrew H. Sung, Ajith Abraham:
Distributed Multi-Intelligent Agent Framework for Detection of Stealthy Probes. HIS 2003: 779-788 - [c15]Srinivas Mukkamala, Andrew H. Sung:
A Comparative Study of Techniques for Intrusion Detection. ICTAI 2003: 570- - [c14]Srinivas Mukkamala, Andrew H. Sung:
A Distributed Agent Based IDS for Stealthy Probe Detection. IICAI 2003: 413-422 - [c13]Andrew H. Sung, Srinivas Mukkamala:
Identifying Important Features for Intrusion Detection Using Support Vector Machines and Neural Networks. SAINT 2003: 209-217 - [c12]Srinivas Mukkamala, Andrew H. Sung:
Artificial intelligent techniques for intrusion detection. SMC 2003: 1266-1271 - 2002
- [c11]Andrew H. Sung:
Role of Soft Computing in Internet Security. HIS 2002: 8 - [c10]Srinivas Mukkamala, Andrew H. Sung:
Performance Based Feature Identification for Intrusion Detection Using Support Vector Machines. HIS 2002: 351-364 - 2001
- [c9]Srinivas Mukkamala, Guadalupe I. Janoski, Andrew H. Sung:
Monitoring System Security Using Neural Networks and Support Vector Machines. HIS 2001: 121-137 - [c8]Guadalupe I. Janoski, Andrew H. Sung:
Alternate Methods in Reservoir Simulation. International Conference on Computational Science (2) 2001: 253-262 - [c7]Guadalupe I. Janoski, Andrew H. Sung:
Economical large scale simulation. SMC 2001: 3211-3216 - 2000
- [c6]Hujun Li, Fangsheng Li, Andrew H. Sung, William W. Weiss:
A Fuzzy Inference Algorithm for Lithology Analysis in Formation Evaluation. IEA/AIE 2000: 290-295 - [c5]Guadalupe I. Janoski, Fansheng Li, Mateusz Pietrzyk, Andrew H. Sung, Shih-Hsien Chang, Reid B. Grigg:
Advances Reservoir Simulation Using Soft Computing. IEA/AIE 2000: 623-628
1990 – 1999
- 1998
- [c4]H. J. Li, Andrew H. Sung, William W. Weiss, S. C. Wo:
Neural networks as an aid to iterative optimization methods. SMC 1998: 1812-1817 - 1994
- [c3]Willie Chang, Hamdy S. Soliman, Andrew H. Sung:
Fingerprint Image Compression by a Natural Clustering Neural Network. ICIP (2) 1994: 341-345 - [c2]Willie Chang, Hamdy S. Soliman, Andrew H. Sung:
Fingerprint Image Compression by a Clustering Learning Network. IEA/AIE 1994: 51-56 - 1993
- [c1]Willie Chang, Hamdy S. Soliman, Andrew H. Sung:
Preserving visual perception by learning natural clustering. ICNN 1993: 661-666
Coauthor Index
[c85] [c84] [c83] [j21] [c82] [p2] [c80] [j19] [j18] [c78] [c77] [c76] [c75] [j17] [j16] [c74] [c73] [c72] [c71] [j15] [j14] [c70] [c69] [j13] [j12] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [j11] [j10] [c59] [c58] [c57] [c56] [c55] [c54] [j8] [j7] [j5] [c48] [c44] [c43] [c42] [c40] [c38] [c37] [c33] [c28] [c19]
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