Journal articles on the topic 'Generative competitive neural network'
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Kuznetsov, A. V., and M. V. Gashnikov. "Remote sensing data retouching based on image inpainting algorithms in the forgery generation problem." Computer Optics 44, no. 5 (October 2020): 763–71. http://dx.doi.org/10.18287/2412-6179-co-721.
Full textTsibulis, Dmitry E., Andrey N. Ragozin, Stanislav N. Darovskikh, and Askar Z. Kulganatov. "Study of nonlinear digital filtering of signals using generative competitive neural network." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 22, no. 2 (April 2022): 158–67. http://dx.doi.org/10.14529/ctcr220215.
Full textMarton, Sascha, Stefan Lüdtke, and Christian Bartelt. "Explanations for Neural Networks by Neural Networks." Applied Sciences 12, no. 3 (January 18, 2022): 980. http://dx.doi.org/10.3390/app12030980.
Full textShin, Wonsup, Seok-Jun Bu, and Sung-Bae Cho. "3D-Convolutional Neural Network with Generative Adversarial Network and Autoencoder for Robust Anomaly Detection in Video Surveillance." International Journal of Neural Systems 30, no. 06 (May 28, 2020): 2050034. http://dx.doi.org/10.1142/s0129065720500343.
Full textForster, Dennis, Abdul-Saboor Sheikh, and Jörg Lücke. "Neural Simpletrons: Learning in the Limit of Few Labels with Directed Generative Networks." Neural Computation 30, no. 8 (August 2018): 2113–74. http://dx.doi.org/10.1162/neco_a_01100.
Full textWang, Zheng, and Qingbiao Wu. "An Integrated Deep Generative Model for Text Classification and Generation." Mathematical Problems in Engineering 2018 (August 19, 2018): 1–8. http://dx.doi.org/10.1155/2018/7529286.
Full textHuang, Wenlong, Brian Lai, Weijian Xu, and Zhuowen Tu. "3D Volumetric Modeling with Introspective Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8481–88. http://dx.doi.org/10.1609/aaai.v33i01.33018481.
Full textV.M., Sineglazov, and Chumachenko O.I. "Structural-parametric synthesis of deep learning neural networks." Artificial Intelligence 25, no. 4 (December 25, 2020): 42–51. http://dx.doi.org/10.15407/jai2020.04.042.
Full textLee, Byong Kwon. "A Combining AI Algorithm for the Restoration of Damaged Cultural Properties." Webology 19, no. 1 (January 20, 2022): 4384–95. http://dx.doi.org/10.14704/web/v19i1/web19288.
Full textWang, Zilin, Zhaoxiang Zhang, Limin Dong, and Guodong Xu. "Jitter Detection and Image Restoration Based on Generative Adversarial Networks in Satellite Images." Sensors 21, no. 14 (July 9, 2021): 4693. http://dx.doi.org/10.3390/s21144693.
Full textKOHLMORGEN, JENS, and BENJAMIN BLANKERTZ. "BAYESIAN CLASSIFICATION OF SINGLE-TRIAL EVENT-RELATED POTENTIALS IN EEG." International Journal of Bifurcation and Chaos 14, no. 02 (February 2004): 719–26. http://dx.doi.org/10.1142/s0218127404009429.
Full textLobov, Sergey A., Andrey V. Chernyshov, Nadia P. Krilova, Maxim O. Shamshin, and Victor B. Kazantsev. "Competitive Learning in a Spiking Neural Network: Towards an Intelligent Pattern Classifier." Sensors 20, no. 2 (January 16, 2020): 500. http://dx.doi.org/10.3390/s20020500.
Full textChadha, Aman, John Britto, and M. Mani Roja. "iSeeBetter: Spatio-temporal video super-resolution using recurrent generative back-projection networks." Computational Visual Media 6, no. 3 (July 20, 2020): 307–17. http://dx.doi.org/10.1007/s41095-020-0175-7.
Full textGao, Wei, Linjie Zhou, and Lvfang Tao. "A Fast View Synthesis Implementation Method for Light Field Applications." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 4 (November 30, 2021): 1–20. http://dx.doi.org/10.1145/3459098.
Full textDu, Bingqian, Zhiyi Huang, and Chuan Wu. "Adversarial Deep Learning for Online Resource Allocation." ACM Transactions on Modeling and Performance Evaluation of Computing Systems 6, no. 4 (December 31, 2021): 1–25. http://dx.doi.org/10.1145/3494526.
Full textUsoltsev, Yakov, Balzhit Lodonova, Alexander Shelupanov, Anton Konev, and Evgeny Kostyuchenko. "Adversarial Attacks Impact on the Neural Network Performance and Visual Perception of Data under Attack." Information 13, no. 2 (February 5, 2022): 77. http://dx.doi.org/10.3390/info13020077.
Full textYuan, Yijun, Xu Si, and Yue Zheng. "Ground-roll attenuation using generative adversarial networks." GEOPHYSICS 85, no. 4 (June 13, 2020): WA255—WA267. http://dx.doi.org/10.1190/geo2019-0414.1.
Full textGazizov, Marat Rushanovich, and Karen Albertovich Grigorian. "Of Neural Network Model Robustness Through Generating Invariant to Attributes Embeddings." Russian Digital Libraries Journal 23, no. 6 (June 4, 2020): 1142–54. http://dx.doi.org/10.26907/1562-5419-2020-23-6-1142-1154.
Full textWang, Dong, Ying Li, Li Ma, Zongwen Bai, and Jonathan Chan. "Going Deeper with Densely Connected Convolutional Neural Networks for Multispectral Pansharpening." Remote Sensing 11, no. 22 (November 7, 2019): 2608. http://dx.doi.org/10.3390/rs11222608.
Full textSnyder, Hannah R., Marie T. Banich, and Yuko Munakata. "All Competition Is Not Alike: Neural Mechanisms for Resolving Underdetermined and Prepotent Competition." Journal of Cognitive Neuroscience 26, no. 11 (November 2014): 2608–23. http://dx.doi.org/10.1162/jocn_a_00652.
Full textPrzednowek, Krzysztof, Janusz Iskra, Krzysztof Wiktorowicz, Tomasz Krzeszowski, and Adam Maszczyk. "Planning Training Loads for The 400 M Hurdles in Three-Month Mesocycles Using Artificial Neural Networks." Journal of Human Kinetics 60, no. 1 (December 28, 2017): 175–89. http://dx.doi.org/10.1515/hukin-2017-0101.
Full textLi, Danhua, Xiaofeng Di, Xuan Qu, Yunfei Zhao, and Honggang Kong. "Deep Convolutional Neural Network for Pedestrian Detection with Multi-Levels Features Fusion." MATEC Web of Conferences 232 (2018): 01061. http://dx.doi.org/10.1051/matecconf/201823201061.
Full textGan, Fengjiao, Chenggao Luo, Xingyue Liu, Hongqiang Wang, and Long Peng. "Fast Terahertz Coded-Aperture Imaging Based on Convolutional Neural Network." Applied Sciences 10, no. 8 (April 12, 2020): 2661. http://dx.doi.org/10.3390/app10082661.
Full textKanazawa, Yusuke, Tetsuya Asai, and Yoshihito Amemiya. "Basic Circuit Design of a Neural Processor: Analog CMOS Implementation of Spiking Neurons and Dynamic Synapses." Journal of Robotics and Mechatronics 15, no. 2 (April 20, 2003): 208–18. http://dx.doi.org/10.20965/jrm.2003.p0208.
Full textAKHAND, M. A. H., and K. MURASE. "ENSEMBLES OF NEURAL NETWORKS BASED ON THE ALTERATION OF INPUT FEATURE VALUES." International Journal of Neural Systems 22, no. 01 (February 2012): 77–87. http://dx.doi.org/10.1142/s0129065712003079.
Full textYang, Zhile, Monjur Mourshed, Kailong Liu, Xinzhi Xu, and Shengzhong Feng. "A novel competitive swarm optimized RBF neural network model for short-term solar power generation forecasting." Neurocomputing 397 (July 2020): 415–21. http://dx.doi.org/10.1016/j.neucom.2019.09.110.
Full textNguyen, Binh, Binh Le, Long H. B. Nguyen, and Dien Dinh. "PhraseAttn: Dynamic Slot Capsule Networks for phrase representation in Neural Machine Translation." Journal of Intelligent & Fuzzy Systems 42, no. 4 (March 4, 2022): 3871–78. http://dx.doi.org/10.3233/jifs-212101.
Full textChaushev, Alexander, Liam Raynard, Michael R. Goad, Philipp Eigmüller, David J. Armstrong, Joshua T. Briegal, Matthew R. Burleigh, et al. "Classifying exoplanet candidates with convolutional neural networks: application to the Next Generation Transit Survey." Monthly Notices of the Royal Astronomical Society 488, no. 4 (July 31, 2019): 5232–50. http://dx.doi.org/10.1093/mnras/stz2058.
Full textZhang, Xun, Lanyan Yang, Bin Zhang, Ying Liu, Dong Jiang, Xiaohai Qin, and Mengmeng Hao. "Multi-Scale Aggregation Graph Neural Networks Based on Feature Similarity for Semi-Supervised Learning." Entropy 23, no. 4 (March 28, 2021): 403. http://dx.doi.org/10.3390/e23040403.
Full textZhang, Kai, Guanghua Xu, Zezhen Han, Kaiquan Ma, Xiaowei Zheng, Longting Chen, Nan Duan, and Sicong Zhang. "Data Augmentation for Motor Imagery Signal Classification Based on a Hybrid Neural Network." Sensors 20, no. 16 (August 11, 2020): 4485. http://dx.doi.org/10.3390/s20164485.
Full textLee, Byung-Jun, and Kee-Eung Kim. "Dialog History Construction with Long-Short Term Memory for Robust Generative Dialog State Tracking." Dialogue & Discourse 7, no. 3 (April 15, 2016): 47–64. http://dx.doi.org/10.5087/dad.2016.302.
Full textPeng, Xiaoming, Abdesselam Bouzerdoum, and Son Lam Phung. "A Trajectory-Based Method for Dynamic Scene Recognition." International Journal of Pattern Recognition and Artificial Intelligence 35, no. 10 (May 15, 2021): 2150029. http://dx.doi.org/10.1142/s0218001421500294.
Full textMai, Weimin, Junxin Chen, and Xiang Chen. "Time-Evolving Graph Convolutional Recurrent Network for Traffic Prediction." Applied Sciences 12, no. 6 (March 10, 2022): 2842. http://dx.doi.org/10.3390/app12062842.
Full textLv, Gang, Yushan Xu, Zuchang Ma, Yining Sun, and Fudong Nian. "Scale and Background Aware Asymmetric Bilateral Network for Unconstrained Image Crowd Counting." Mathematics 10, no. 7 (March 25, 2022): 1053. http://dx.doi.org/10.3390/math10071053.
Full textBologna, Guido, and Yoichi Hayashi. "A Comparison Study on Rule Extraction from Neural Network Ensembles, Boosted Shallow Trees, and SVMs." Applied Computational Intelligence and Soft Computing 2018 (2018): 1–20. http://dx.doi.org/10.1155/2018/4084850.
Full textDai, Wenxin, Yuqing Mao, Rongao Yuan, Yijing Liu, Xuemei Pu, and Chuan Li. "A Novel Detector Based on Convolution Neural Networks for Multiscale SAR Ship Detection in Complex Background." Sensors 20, no. 9 (April 30, 2020): 2547. http://dx.doi.org/10.3390/s20092547.
Full textPiao, Jingchun, Yunfan Chen, and Hyunchul Shin. "A New Deep Learning Based Multi-Spectral Image Fusion Method." Entropy 21, no. 6 (June 5, 2019): 570. http://dx.doi.org/10.3390/e21060570.
Full textMa, Xianghua, Zhenkun Yang, and Shining Chen. "Multiscale Feature Filtering Network for Image Recognition System in Unmanned Aerial Vehicle." Complexity 2021 (February 18, 2021): 1–11. http://dx.doi.org/10.1155/2021/6663851.
Full textTan, Kok Sheng, and Preethi Subramanian. "Proposition of Machine Learning Driven Personalized Marketing Approach for E-Commerce." Journal of Computational and Theoretical Nanoscience 16, no. 8 (August 1, 2019): 3532–37. http://dx.doi.org/10.1166/jctn.2019.8319.
Full textHe, Minxue, Liheng Zhong, Prabhjot Sandhu, and Yu Zhou. "Emulation of a Process-Based Salinity Generator for the Sacramento–San Joaquin Delta of California via Deep Learning." Water 12, no. 8 (July 23, 2020): 2088. http://dx.doi.org/10.3390/w12082088.
Full textChen, Zuyao, Qianqian Xu, Runmin Cong, and Qingming Huang. "Global Context-Aware Progressive Aggregation Network for Salient Object Detection." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 10599–606. http://dx.doi.org/10.1609/aaai.v34i07.6633.
Full textShu, Yuanjun, Wei Li, Menglong Yang, Peng Cheng, and Songchen Han. "Patch-Based Change Detection Method for SAR Images with Label Updating Strategy." Remote Sensing 13, no. 7 (March 24, 2021): 1236. http://dx.doi.org/10.3390/rs13071236.
Full textYan, Zheren, Can Yang, Lei Hu, Jing Zhao, Liangcun Jiang, and Jianya Gong. "The Integration of Linguistic and Geospatial Features Using Global Context Embedding for Automated Text Geocoding." ISPRS International Journal of Geo-Information 10, no. 9 (August 24, 2021): 572. http://dx.doi.org/10.3390/ijgi10090572.
Full textYan, Huijiong, Tao Qian, Liang Xie, and Shanguang Chen. "Unsupervised cross-lingual model transfer for named entity recognition with contextualized word representations." PLOS ONE 16, no. 9 (September 21, 2021): e0257230. http://dx.doi.org/10.1371/journal.pone.0257230.
Full textMarnerides, Demetris, Thomas Bashford-Rogers, and Kurt Debattista. "Deep HDR Hallucination for Inverse Tone Mapping." Sensors 21, no. 12 (June 11, 2021): 4032. http://dx.doi.org/10.3390/s21124032.
Full textCui, Jianming, Wenxiu Kong, Xiaojun Zhang, Da Chen, and Qingtian Zeng. "DLSTM-Based Successive Cancellation Flipping Decoder for Short Polar Codes." Entropy 23, no. 7 (July 6, 2021): 863. http://dx.doi.org/10.3390/e23070863.
Full textWang, Xuchu, Fusheng Wang, and Yanmin Niu. "A Convolutional Neural Network Combining Discriminative Dictionary Learning and Sequence Tracking for Left Ventricular Detection." Sensors 21, no. 11 (May 26, 2021): 3693. http://dx.doi.org/10.3390/s21113693.
Full textKillestein, T. L., J. Lyman, D. Steeghs, K. Ackley, M. J. Dyer, K. Ulaczyk, R. Cutter, et al. "Transient-optimized real-bogus classification with Bayesian convolutional neural networks – sifting the GOTO candidate stream." Monthly Notices of the Royal Astronomical Society 503, no. 4 (March 15, 2021): 4838–54. http://dx.doi.org/10.1093/mnras/stab633.
Full textZhang, Junjie, Zhouyin Cai, Fansheng Chen, and Dan Zeng. "Hyperspectral Image Denoising via Adversarial Learning." Remote Sensing 14, no. 8 (April 7, 2022): 1790. http://dx.doi.org/10.3390/rs14081790.
Full textZafar, Haroon, Junaid Zafar, and Faisal Sharif. "Automated Clinical Decision Support for Coronary Plaques Characterization from Optical Coherence Tomography Imaging with Fused Neural Networks." Optics 3, no. 1 (January 10, 2022): 8–18. http://dx.doi.org/10.3390/opt3010002.
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