Journal articles on the topic 'Neural networks; Visual information'
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Hertz, J. A., T. W. Kjær, E. N. Eskandar, and B. J. Richmond. "MEASURING NATURAL NEURAL PROCESSING WITH ARTIFICIAL NEURAL NETWORKS." International Journal of Neural Systems 03, supp01 (1992): 91–103. http://dx.doi.org/10.1142/s0129065792000425.
Full textKawato, Mitsuo, Takatoshi Ikeda, and Sei Miyake. "Learning in neural networks for visual information processing." Journal of the Institute of Television Engineers of Japan 42, no. 9 (1988): 918–24. http://dx.doi.org/10.3169/itej1978.42.918.
Full textSeeland, Marco, and Patrick Mäder. "Multi-view classification with convolutional neural networks." PLOS ONE 16, no. 1 (2021): e0245230. http://dx.doi.org/10.1371/journal.pone.0245230.
Full textMAINZER, KLAUS. "CELLULAR NEURAL NETWORKS AND VISUAL COMPUTING." International Journal of Bifurcation and Chaos 13, no. 01 (2003): 1–6. http://dx.doi.org/10.1142/s0218127403006534.
Full textHartono, Pitoyo. "A transparent cancer classifier." Health Informatics Journal 26, no. 1 (2018): 190–204. http://dx.doi.org/10.1177/1460458218817800.
Full textEt. al., K. P. Moholkar,. "Visual Question Answering using Convolutional Neural Networks." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 1S (2021): 170–75. http://dx.doi.org/10.17762/turcomat.v12i1s.1602.
Full textDeng, Yu Qiao, and Ge Song. "A Verifiable Visual Cryptography Scheme Using Neural Networks." Advanced Materials Research 756-759 (September 2013): 1361–65. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1361.
Full textMerilaita, Sami. "Artificial neural networks and the study of evolution of prey coloration." Philosophical Transactions of the Royal Society B: Biological Sciences 362, no. 1479 (2007): 421–30. http://dx.doi.org/10.1098/rstb.2006.1969.
Full textWolfrum, Philipp, and Christoph von der Malsburg. "What Is the Optimal Architecture for Visual Information Routing?" Neural Computation 19, no. 12 (2007): 3293–309. http://dx.doi.org/10.1162/neco.2007.19.12.3293.
Full textMedvedev, Viktor, Gintautas Dzemyda, Olga Kurasova, and Virginijus Marcinkevičius. "Efficient Data Projection for Visual Analysis of Large Data Sets Using Neural Networks." Informatica 22, no. 4 (2011): 507–20. http://dx.doi.org/10.15388/informatica.2011.339.
Full textMajerus, Steve, Arnaud D'Argembeau, Trecy Martinez Perez, et al. "The Commonality of Neural Networks for Verbal and Visual Short-term Memory." Journal of Cognitive Neuroscience 22, no. 11 (2010): 2570–93. http://dx.doi.org/10.1162/jocn.2009.21378.
Full textYANG, SIMON X. "VISUAL INFORMATION ACQUISITION IN VERTEBRATE RETINA." International Journal of Information Acquisition 01, no. 01 (2004): 67–76. http://dx.doi.org/10.1142/s0219878904000033.
Full textAl-Tahan, Haider, and Yalda Mohsenzadeh. "Reconstructing feedback representations in the ventral visual pathway with a generative adversarial autoencoder." PLOS Computational Biology 17, no. 3 (2021): e1008775. http://dx.doi.org/10.1371/journal.pcbi.1008775.
Full textMoskvin, A. A., and A. G. Shishkin. "Deep Learning Based Human Emotional State Recognition in a Video." Journal of Modeling and Optimization 12, no. 1 (2020): 51–59. http://dx.doi.org/10.32732/jmo.2020.12.1.51.
Full textAnderson, Dana Z. "Material Demands for Optical Neural Networks." MRS Bulletin 13, no. 8 (1988): 30–35. http://dx.doi.org/10.1557/s0883769400064654.
Full textMedina, José M. "Effects of Multiplicative Power Law Neural Noise in Visual Information Processing." Neural Computation 23, no. 4 (2011): 1015–46. http://dx.doi.org/10.1162/neco_a_00102.
Full textCeroni, Andrea, Chenyang Ma, and Ralph Ewerth. "Mining exoticism from visual content with fusion-based deep neural networks." International Journal of Multimedia Information Retrieval 8, no. 1 (2019): 19–33. http://dx.doi.org/10.1007/s13735-018-00165-4.
Full textCosi, P., M. Dugatto, F. Ferrero, E. Magno Caldognetto, and K. Vagges. "Phonetic recognition by recurrent neural networks working on audio and visual information." Speech Communication 19, no. 3 (1996): 245–52. http://dx.doi.org/10.1016/0167-6393(96)00034-9.
Full textKATAYAMA, Masazumi, and Mitsuo KAWATO. "Neural network model integrating visual and somatic information." Journal of the Robotics Society of Japan 8, no. 6 (1990): 757–65. http://dx.doi.org/10.7210/jrsj.8.6_757.
Full textLAGHARI, M. S., and A. BOUJARWAH. "WEAR PARTICLE TEXTURE CLASSIFICATION USING ARTIFICIAL NEURAL NETWORKS." International Journal of Pattern Recognition and Artificial Intelligence 13, no. 03 (1999): 415–28. http://dx.doi.org/10.1142/s0218001499000240.
Full textKang, Byeongkeun, and Yeejin Lee. "High-Resolution Neural Network for Driver Visual Attention Prediction." Sensors 20, no. 7 (2020): 2030. http://dx.doi.org/10.3390/s20072030.
Full textMoyal, Roy, and Shimon Edelman. "Dynamic Computation in Visual Thalamocortical Networks." Entropy 21, no. 5 (2019): 500. http://dx.doi.org/10.3390/e21050500.
Full textReddy*, M. Venkata Krishna, and Pradeep S. "Envision Foundational of Convolution Neural Network." International Journal of Innovative Technology and Exploring Engineering 10, no. 6 (2021): 54–60. http://dx.doi.org/10.35940/ijitee.f8804.0410621.
Full textMARSHALL, JONATHAN A., and VISWANATH SRIKANTH. "CURVED TRAJECTORY PREDICTION USING A SELF-ORGANIZING NEURAL NETWORK." International Journal of Neural Systems 10, no. 01 (2000): 59–70. http://dx.doi.org/10.1142/s0129065700000065.
Full textKádár, Ákos, Grzegorz Chrupała, and Afra Alishahi. "Representation of Linguistic Form and Function in Recurrent Neural Networks." Computational Linguistics 43, no. 4 (2017): 761–80. http://dx.doi.org/10.1162/coli_a_00300.
Full textWai Yong, Ching, Kareen Teo, Belinda Pingguan Murphy, Yan Chai Hum, and Khin Wee Lai. "CORSegNet: Deep Neural Network for Core Object Segmentation on Medical Images." Journal of Medical Imaging and Health Informatics 11, no. 5 (2021): 1364–71. http://dx.doi.org/10.1166/jmihi.2021.3380.
Full textChu, Wei-Ta, Yu-Hsuan Liang, and Kai-Chia Ho. "Visual Weather Property Prediction by Multi-Task Learning and Two-Dimensional RNNs." Atmosphere 12, no. 5 (2021): 584. http://dx.doi.org/10.3390/atmos12050584.
Full textRothlein, David, Joseph DeGutis, and Michael Esterman. "Attentional Fluctuations Influence the Neural Fidelity and Connectivity of Stimulus Representations." Journal of Cognitive Neuroscience 30, no. 9 (2018): 1209–28. http://dx.doi.org/10.1162/jocn_a_01306.
Full textVakhshiteh, Fatemeh, Farshad Almasganj, and Ahmad Nickabadi. "LIP-READING VIA DEEP NEURAL NETWORKS USING HYBRID VISUAL FEATURES." Image Analysis & Stereology 37, no. 2 (2018): 159. http://dx.doi.org/10.5566/ias.1859.
Full textCasabianca, Pietro, and Yu Zhang. "Acoustic-Based UAV Detection Using Late Fusion of Deep Neural Networks." Drones 5, no. 3 (2021): 54. http://dx.doi.org/10.3390/drones5030054.
Full textGong, Yan, Georgina Cosma, and Hui Fang. "On the Limitations of Visual-Semantic Embedding Networks for Image-to-Text Information Retrieval." Journal of Imaging 7, no. 8 (2021): 125. http://dx.doi.org/10.3390/jimaging7080125.
Full textNi, Xubin, Lirong Yin, Xiaobing Chen, Shan Liu, Bo Yang, and Wenfeng Zheng. "Semantic representation for visual reasoning." MATEC Web of Conferences 277 (2019): 02006. http://dx.doi.org/10.1051/matecconf/201927702006.
Full textVihlman, Mikko, and Arto Visala. "Optical Flow in Deep Visual Tracking." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 12112–19. http://dx.doi.org/10.1609/aaai.v34i07.6890.
Full textGarcia, Noa, Benjamin Renoust, and Yuta Nakashima. "ContextNet: representation and exploration for painting classification and retrieval in context." International Journal of Multimedia Information Retrieval 9, no. 1 (2019): 17–30. http://dx.doi.org/10.1007/s13735-019-00189-4.
Full textGhariba, Bashir, Mohamed S. Shehata, and Peter McGuire. "Visual Saliency Prediction Based on Deep Learning." Information 10, no. 8 (2019): 257. http://dx.doi.org/10.3390/info10080257.
Full textKalinina, M. O., and P. L. Nikolaev. "Book spine recognition with the use of deep neural networks." Computer Optics 44, no. 6 (2020): 968–77. http://dx.doi.org/10.18287/2412-6179-co-731.
Full textGulshad, Sadaf, and Arnold Smeulders. "Counterfactual attribute-based visual explanations for classification." International Journal of Multimedia Information Retrieval 10, no. 2 (2021): 127–40. http://dx.doi.org/10.1007/s13735-021-00208-3.
Full textErgun, Hilal, Yusuf Caglar Akyuz, Mustafa Sert, and Jianquan Liu. "Early and Late Level Fusion of Deep Convolutional Neural Networks for Visual Concept Recognition." International Journal of Semantic Computing 10, no. 03 (2016): 379–97. http://dx.doi.org/10.1142/s1793351x16400158.
Full textWhite, Robert L., and Lawrence H. Snyder. "Spatial constancy and the brain: insights from neural networks." Philosophical Transactions of the Royal Society B: Biological Sciences 362, no. 1479 (2007): 375–82. http://dx.doi.org/10.1098/rstb.2006.1965.
Full textOrbán, Levente L., and Sylvain Chartier. "Unsupervised Neural Network Quantifies the Cost of Visual Information Processing." PLOS ONE 10, no. 7 (2015): e0132218. http://dx.doi.org/10.1371/journal.pone.0132218.
Full textMichaels, Jonathan A., Stefan Schaffelhofer, Andres Agudelo-Toro, and Hansjörg Scherberger. "A goal-driven modular neural network predicts parietofrontal neural dynamics during grasping." Proceedings of the National Academy of Sciences 117, no. 50 (2020): 32124–35. http://dx.doi.org/10.1073/pnas.2005087117.
Full textBrunel, Nicolas. "Hebbian Learning of Context in Recurrent Neural Networks." Neural Computation 8, no. 8 (1996): 1677–710. http://dx.doi.org/10.1162/neco.1996.8.8.1677.
Full textWang, Yong, Xinbin Luo, Lu Ding, Shan Fu, and Xian Wei. "Detection based visual tracking with convolutional neural network." Knowledge-Based Systems 175 (July 2019): 62–71. http://dx.doi.org/10.1016/j.knosys.2019.03.012.
Full textLiu, Yu, Xun Chen, Juan Cheng, Hu Peng, and Zengfu Wang. "Infrared and visible image fusion with convolutional neural networks." International Journal of Wavelets, Multiresolution and Information Processing 16, no. 03 (2018): 1850018. http://dx.doi.org/10.1142/s0219691318500182.
Full textMei, Xiaoguang, Erting Pan, Yong Ma, et al. "Spectral-Spatial Attention Networks for Hyperspectral Image Classification." Remote Sensing 11, no. 8 (2019): 963. http://dx.doi.org/10.3390/rs11080963.
Full textYUE, TAI-WEN, and SUCHEN CHIANG. "A NEURAL-NETWORK APPROACH FOR VISUAL CRYPTOGRAPHY AND AUTHORIZATION." International Journal of Neural Systems 14, no. 03 (2004): 175–87. http://dx.doi.org/10.1142/s012906570400198x.
Full textKoji, Yukichi, Naoyoshi Takatsu, and Masanari Oh. "Visual solder inspection using neural network." Systems and Computers in Japan 27, no. 1 (1996): 92–100. http://dx.doi.org/10.1002/scj.4690270109.
Full textSeeliger, K., L. Ambrogioni, Y. Güçlütürk, L. M. van den Bulk, U. Güçlü, and M. A. J. van Gerven. "End-to-end neural system identification with neural information flow." PLOS Computational Biology 17, no. 2 (2021): e1008558. http://dx.doi.org/10.1371/journal.pcbi.1008558.
Full textRamsey, Richard. "Neural Integration in Body Perception." Journal of Cognitive Neuroscience 30, no. 10 (2018): 1442–51. http://dx.doi.org/10.1162/jocn_a_01299.
Full textTai, Lei, Shaohua Li, and Ming Liu. "Autonomous exploration of mobile robots through deep neural networks." International Journal of Advanced Robotic Systems 14, no. 4 (2017): 172988141770357. http://dx.doi.org/10.1177/1729881417703571.
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