Artículos de revistas sobre el tema "Hierarchical Spatio-Temporal Feature Maps"
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Sheng, Jingwei, Li Zheng, Bingjiang Lyu, Zhehang Cen, Lang Qin, Li Hai Tan, Ming-Xiong Huang, Nai Ding y Jia-Hong Gao. "The Cortical Maps of Hierarchical Linguistic Structures during Speech Perception". Cerebral Cortex 29, n.º 8 (23 de agosto de 2018): 3232–40. http://dx.doi.org/10.1093/cercor/bhy191.
Texto completoSun, Tao, Yongjun Xu, Zhao Zhang, Lin Wu y Fei Wang. "A Hierarchical Spatial-Temporal Embedding Method Based on Enhanced Trajectory Features for Ship Type Classification". Sensors 22, n.º 3 (18 de enero de 2022): 711. http://dx.doi.org/10.3390/s22030711.
Texto completoSilva, Nilton Correia da, Osmar Abílio de Carvalho Júnior, Antonio Nuno de Castro Santa Rosa, Renato Fontes Guimarães y Roberto Arnaldo Trancoso Gomes. "CHANGE DETECTION SOFTWARE USING SELF-ORGANIZING FEATURE MAPS". Revista Brasileira de Geofísica 30, n.º 4 (1 de diciembre de 2012): 505. http://dx.doi.org/10.22564/rbgf.v30i4.237.
Texto completoHu, Jie, Yunping Chen, Zhiwen Cai, Haodong Wei, Xinyu Zhang, Wei Zhou, Cong Wang, Liangzhi You y Baodong Xu. "Mapping Diverse Paddy Rice Cropping Patterns in South China Using Harmonized Landsat and Sentinel-2 Data". Remote Sensing 15, n.º 4 (14 de febrero de 2023): 1034. http://dx.doi.org/10.3390/rs15041034.
Texto completoHan, Te, Yuqi Tang, Xin Yang, Zefeng Lin, Bin Zou y Huihui Feng. "Change Detection for Heterogeneous Remote Sensing Images with Improved Training of Hierarchical Extreme Learning Machine (HELM)". Remote Sensing 13, n.º 23 (3 de diciembre de 2021): 4918. http://dx.doi.org/10.3390/rs13234918.
Texto completoSapienza, Davide, Davide Paganelli, Marco Prato, Marko Bertogna y Matteo Spallanzani. "Deep learning-assisted analysis of automobiles handling performances". Communications in Applied and Industrial Mathematics 13, n.º 1 (1 de enero de 2022): 78–95. http://dx.doi.org/10.2478/caim-2022-0007.
Texto completoMa, Andong y Anthony M. Filippi. "A novel spatial recurrent neural network for hyperspectral imagery classification". Abstracts of the ICA 1 (15 de julio de 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-233-2019.
Texto completoPantho, Md Jubaer Hossain, Pankaj Bhowmik y Christophe Bobda. "Towards an Efficient CNN Inference Architecture Enabling In-Sensor Processing". Sensors 21, n.º 6 (10 de marzo de 2021): 1955. http://dx.doi.org/10.3390/s21061955.
Texto completoChandrasekaran, V., M. Palaniswami y T. M. Caelli. "Spatio-temporal feature maps using gated neuronal architecture". IEEE Transactions on Neural Networks 6, n.º 5 (1995): 1119–31. http://dx.doi.org/10.1109/72.410356.
Texto completoHussain, I., J. Pilz y G. Spoeck. "Hierarchical Bayesian space-time interpolation versus spatio-temporal BME approach". Advances in Geosciences 25 (30 de marzo de 2010): 97–102. http://dx.doi.org/10.5194/adgeo-25-97-2010.
Texto completoInoue, Y., K. Tsuruoka y M. Arikawa. "Spatio-Temporal Story Mapping Animation Based On Structured Causal Relationships Of Historical Events". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4 (23 de abril de 2014): 101–3. http://dx.doi.org/10.5194/isprsarchives-xl-4-101-2014.
Texto completoJiang, Haiyang, Yaozong Pan, Jian Zhang y Haitao Yang. "Battlefield Target Aggregation Behavior Recognition Model Based on Multi-Scale Feature Fusion". Symmetry 11, n.º 6 (5 de junio de 2019): 761. http://dx.doi.org/10.3390/sym11060761.
Texto completoZhao, Liang, Yuyang Gao, Jieping Ye, Feng Chen, Yanfang Ye, Chang-Tien Lu y Naren Ramakrishnan. "Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning". ACM Transactions on Knowledge Discovery from Data 16, n.º 2 (30 de abril de 2022): 1–28. http://dx.doi.org/10.1145/3464976.
Texto completoWenger, Romain, Anne Puissant, Jonathan Weber, Lhassane Idoumghar y Germain Forestier. "Multimodal and Multitemporal Land Use/Land Cover Semantic Segmentation on Sentinel-1 and Sentinel-2 Imagery: An Application on a MultiSenGE Dataset". Remote Sensing 15, n.º 1 (27 de diciembre de 2022): 151. http://dx.doi.org/10.3390/rs15010151.
Texto completoSarabu, Ashok y Ajit Kumar Santra. "Spatio-Temporal Human Action Recognition Model using Deep Learning Techniques". International Journal on Recent and Innovation Trends in Computing and Communication 10, n.º 2s (31 de diciembre de 2022): 229–36. http://dx.doi.org/10.17762/ijritcc.v10i2s.5932.
Texto completoSaha, Pramit y Sidney Fels. "Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 10019–20. http://dx.doi.org/10.1609/aaai.v33i01.330110019.
Texto completoZhen, Peining, Hai-Bao Chen, Yuan Cheng, Zhigang Ji, Bin Liu y Hao Yu. "Fast Video Facial Expression Recognition by a Deeply Tensor-Compressed LSTM Neural Network for Mobile Devices". ACM Transactions on Internet of Things 2, n.º 4 (30 de noviembre de 2021): 1–26. http://dx.doi.org/10.1145/3464941.
Texto completoZhao, Peng, Fangai Liu y Xuqiang Zhuang. "Speech Sentiment Analysis Using Hierarchical Conformer Networks". Applied Sciences 12, n.º 16 (12 de agosto de 2022): 8076. http://dx.doi.org/10.3390/app12168076.
Texto completoIsbister, James B., Akihiro Eguchi, Nasir Ahmad, Juan M. Galeazzi, Mark J. Buckley y Simon Stringer. "A new approach to solving the feature-binding problem in primate vision". Interface Focus 8, n.º 4 (15 de junio de 2018): 20180021. http://dx.doi.org/10.1098/rsfs.2018.0021.
Texto completoGibbs, Zoe, Chris Groendyke, Brian Hartman y Robert Richardson. "Modeling County-Level Spatio-Temporal Mortality Rates Using Dynamic Linear Models". Risks 8, n.º 4 (5 de noviembre de 2020): 117. http://dx.doi.org/10.3390/risks8040117.
Texto completoDing, Ziluo, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu y Tiejun Huang. "Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 1 (28 de junio de 2022): 525–33. http://dx.doi.org/10.1609/aaai.v36i1.19931.
Texto completoAdin, A., D. Lee, T. Goicoa y María Dolores Ugarte. "A two-stage approach to estimate spatial and spatio-temporal disease risks in the presence of local discontinuities and clusters". Statistical Methods in Medical Research 28, n.º 9 (13 de abril de 2018): 2595–613. http://dx.doi.org/10.1177/0962280218767975.
Texto completoHa, Jinsol, Joongchol Shin, Hasil Park y Joonki Paik. "Action Recognition Network Using Stacked Short-Term Deep Features and Bidirectional Moving Average". Applied Sciences 11, n.º 12 (16 de junio de 2021): 5563. http://dx.doi.org/10.3390/app11125563.
Texto completoWang, Senzhang, Meiyue Zhang, Hao Miao, Zhaohui Peng y Philip S. Yu. "Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction". ACM Transactions on Intelligent Systems and Technology 13, n.º 3 (30 de junio de 2022): 1–22. http://dx.doi.org/10.1145/3469087.
Texto completoLeonards, Ute, Julie Palix, Christoph Michel y Vicente Ibanez. "Comparison of Early Cortical Networks in Efficient and Inefficient Visual Search: An Event-Related Potential Study". Journal of Cognitive Neuroscience 15, n.º 7 (1 de octubre de 2003): 1039–51. http://dx.doi.org/10.1162/089892903770007425.
Texto completoKoh, Junho, Junhyung Lee, Youngwoo Lee, Jaekyum Kim y Jun Won Choi. "MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 1 (26 de junio de 2023): 1179–87. http://dx.doi.org/10.1609/aaai.v37i1.25200.
Texto completoZhang, Shiwen, Hong Liu, Cheng Sun, Xingjin Wu, Pei Wen, Fei Yu y Jin Zhang. "MSTA-SlowFast: A Student Behavior Detector for Classroom Environments". Sensors 23, n.º 11 (30 de mayo de 2023): 5205. http://dx.doi.org/10.3390/s23115205.
Texto completoArif, Sheeraz, Jing Wang, Tehseen Ul Hassan y Zesong Fei. "3D-CNN-Based Fused Feature Maps with LSTM Applied to Action Recognition". Future Internet 11, n.º 2 (13 de febrero de 2019): 42. http://dx.doi.org/10.3390/fi11020042.
Texto completoColy, Sylvain, Myriam Garrido, David Abrial y Anne-Françoise Yao. "Bayesian hierarchical models for disease mapping applied to contagious pathologies". PLOS ONE 16, n.º 1 (13 de enero de 2021): e0222898. http://dx.doi.org/10.1371/journal.pone.0222898.
Texto completoUllah, Mohib, Ahmed Mohammed y Faouzi Alaya Cheikh. "PedNet: A Spatio-Temporal Deep Convolutional Neural Network for Pedestrian Segmentation". Journal of Imaging 4, n.º 9 (4 de septiembre de 2018): 107. http://dx.doi.org/10.3390/jimaging4090107.
Texto completoBONACORSI, M., C. PERGENT-MARTINI, N. BREAND y G. PERGENT. "Is Posidonia oceanica regression a general feature in the Mediterranean Sea?" Mediterranean Marine Science 14, n.º 1 (22 de marzo de 2013): 193. http://dx.doi.org/10.12681/mms.334.
Texto completoVinagre Díaz, Juan José, Rubén Fernández Pozo, Ana Belén Rodríguez González, Mark R. Wilby y Carmen Sánchez Ávila. "Hierarchical Agglomerative Clustering of Bicycle Sharing Stations Based on Ultra-Light Edge Computing". Sensors 20, n.º 12 (23 de junio de 2020): 3550. http://dx.doi.org/10.3390/s20123550.
Texto completoLi, Xing, Qian Huang, Yunfei Zhang, Tianjin Yang y Zhijian Wang. "PointMapNet: Point Cloud Feature Map Network for 3D Human Action Recognition". Symmetry 15, n.º 2 (30 de enero de 2023): 363. http://dx.doi.org/10.3390/sym15020363.
Texto completoKang, Samuel, Young-Min Seo y Yong-Suk Choi. "Video Super Resolution Using a Selective Edge Aggregation Network". Applied Sciences 12, n.º 5 (27 de febrero de 2022): 2492. http://dx.doi.org/10.3390/app12052492.
Texto completoDemirkus, Meltem, Doina Precup, James J. Clark y Tal Arbel. "Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos". IEEE Transactions on Pattern Analysis and Machine Intelligence 38, n.º 6 (1 de junio de 2016): 1185–203. http://dx.doi.org/10.1109/tpami.2015.2481396.
Texto completoDI DOMENICO, ANTONELLA y GIOVANNI LAGUARDIA. "APPLICATION OF PERCOLATION THEORY AND RG METHOD TO SOIL MOISTURE DYNAMICS". International Journal of Modern Physics B 23, n.º 28n29 (20 de noviembre de 2009): 5391–401. http://dx.doi.org/10.1142/s0217979209063717.
Texto completoQiu, Chunping, Michael Schmitt, Lichao Mou, Pedram Ghamisi y Xiao Zhu. "Feature Importance Analysis for Local Climate Zone Classification Using a Residual Convolutional Neural Network with Multi-Source Datasets". Remote Sensing 10, n.º 10 (1 de octubre de 2018): 1572. http://dx.doi.org/10.3390/rs10101572.
Texto completoAbdullah, Abu Yousuf Md, Arif Masrur, Mohammed Sarfaraz Gani Adnan, Md Abdullah Al Baky, Quazi K. Hassan y Ashraf Dewan. "Spatio-temporal Patterns of Land Use/Land Cover Change in the Heterogeneous Coastal Region of Bangladesh between 1990 and 2017". Remote Sensing 11, n.º 7 (2 de abril de 2019): 790. http://dx.doi.org/10.3390/rs11070790.
Texto completoFan, Kun, Chungin Joung y Seungjun Baek. "Sequence-to-Sequence Video Prediction by Learning Hierarchical Representations". Applied Sciences 10, n.º 22 (23 de noviembre de 2020): 8288. http://dx.doi.org/10.3390/app10228288.
Texto completoDzwinel, W., D. A. Yuen, K. Boryczko, Y. Ben-Zion, S. Yoshioka y T. Ito. "Nonlinear multidimensional scaling and visualization of earthquake clusters over space, time and feature space". Nonlinear Processes in Geophysics 12, n.º 1 (28 de enero de 2005): 117–28. http://dx.doi.org/10.5194/npg-12-117-2005.
Texto completoVorobeva, Gulnara y Andrei Vorobev. "MODEL OF INFORMATION INTERACTION BETWEEN ELEMENTS OF MULTILEVEL SYSTEM OF DIGITAL TWINS". Informatics and Automation 20, n.º 3 (28 de mayo de 2021): 530–61. http://dx.doi.org/10.15622/ia.2021.3.2.
Texto completoGiraud, Anne-Lise, Christian Lorenzi, John Ashburner, Jocelyne Wable, Ingrid Johnsrude, Richard Frackowiak y Andreas Kleinschmidt. "Representation of the Temporal Envelope of Sounds in the Human Brain". Journal of Neurophysiology 84, n.º 3 (1 de septiembre de 2000): 1588–98. http://dx.doi.org/10.1152/jn.2000.84.3.1588.
Texto completoHu, Yi, Robert Bergquist, Yue Chen, Yongwen Ke, Jianjun Dai, Zonggui He y Zhijie Zhang. "Dynamic evolution of schistosomiasis distribution under different control strategies: Results from surveillance covering 1991–2014 in Guichi, China". PLOS Neglected Tropical Diseases 15, n.º 1 (6 de enero de 2021): e0008976. http://dx.doi.org/10.1371/journal.pntd.0008976.
Texto completoChakhar, Amal, David Hernández-López, Rim Zitouna-Chebbi, Imen Mahjoub, Rocío Ballesteros y Miguel A. Moreno. "Optimized Software Tools to Generate Large Spatio-Temporal Data Using the Datacubes Concept: Application to Crop Classification in Cap Bon, Tunisia". Remote Sensing 14, n.º 19 (8 de octubre de 2022): 5013. http://dx.doi.org/10.3390/rs14195013.
Texto completoOsei, Frank, Alfred Stein y Anthony Ofosu. "Poisson-Gamma Mixture Spatially Varying Coefficient Modeling of Small-Area Intestinal Parasites Infection". International Journal of Environmental Research and Public Health 16, n.º 3 (26 de enero de 2019): 339. http://dx.doi.org/10.3390/ijerph16030339.
Texto completoAlegana, V. A., P. M. Atkinson, C. Pezzulo, A. Sorichetta, D. Weiss, T. Bird, E. Erbach-Schoenberg y A. J. Tatem. "Fine resolution mapping of population age-structures for health and development applications". Journal of The Royal Society Interface 12, n.º 105 (abril de 2015): 20150073. http://dx.doi.org/10.1098/rsif.2015.0073.
Texto completoTurrin, James B., Richard R. Forster, Jeanne M. Sauber, Dorothy K. Hall y Ronald L. Bruhn. "Effects of bedrock lithology and subglacial till on the motion of Ruth Glacier, Alaska, deduced from five pulses from 1973 to 2012". Journal of Glaciology 60, n.º 222 (2014): 771–81. http://dx.doi.org/10.3189/2014jog13j182.
Texto completoLi, Jingting, Ting Wang y Su-Jing Wang. "Facial Micro-Expression Recognition Based on Deep Local-Holistic Network". Applied Sciences 12, n.º 9 (5 de mayo de 2022): 4643. http://dx.doi.org/10.3390/app12094643.
Texto completoBiondi, F. "Space-time kriging extension of precipitation variability at 12 km spacing from tree-ring chronologies and its implications for drought analysis". Hydrology and Earth System Sciences Discussions 10, n.º 4 (5 de abril de 2013): 4301–35. http://dx.doi.org/10.5194/hessd-10-4301-2013.
Texto completoIoannou, Alexandra E., Enrico F. Creaco y Chrysi S. Laspidou. "Exploring the Effectiveness of Clustering Algorithms for Capturing Water Consumption Behavior at Household Level". Sustainability 13, n.º 5 (1 de marzo de 2021): 2603. http://dx.doi.org/10.3390/su13052603.
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