Artículos relacionados a High-Dimensional and Low-Quality Visual Information...
High-Dimensional and Low-Quality Visual Information Processing: From Structured Sensing and Understanding (Springer Theses) - Tapa blanda
Sinopsis
This thesis primarily focuses on how to carry out intelligent sensing and understand the high-dimensional and low-quality visual information. After exploring the inherent structures of the visual data, it proposes a number of computational models covering an extensive range of mathematical topics, including compressive sensing, graph theory, probabilistic learning and information theory. These computational models are also applied to address a number of real-world problems including biometric recognition, stereo signal reconstruction, natural scene parsing, and SAR image processing.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Bio Yue Deng received the B.E. degree (Hons.) in automatic control from Southeast University, Nanjing,
China, in 2008 and Ph.D. degree (Hons.) in control science from the Department of Automation, Tsinghua University, Beijing, China, in 2013. He was a Visiting Scholar with the School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, from 2010 to 2011. He is currently an Associate Professor with the School of Electronic Science and Engineering, Nanjing University, Nanjing, China.
Zhang,"Graph
Dr. Deng’s current research interests include computer vision, machine learning and computational biology. He is the first author of more than 10 papers published on the worldwide reputable journals and conferences. He was a recipient of the Microsoft global fellowship for young computer scientist in 2010, National Ph.D Scholarship in 2012, best control award of International Air Robotic competition in 2012. His dissertation was nominated as the outstanding Ph.D thesis by Tsinghua University in 2013.
Honors:
• Outstanding Ph.D thesis award of Tsinghua University, 2013
• Best Control Award of International Aerial Robotic Competition, 2012
• National Ph.D Fellowship, 2012
• First Class Scholarship of Tsinghua University, 2012
• Microsoft Global Fellowship for young Computer Scientist, 2010.
• First class award in Tsinghua-UC, Berkeley Global Technical Challenge Competition, 2010.
• Rockwell Global Scholarship, 2006.
Publications:
• Yue Deng, Q. Dai, R. Liu, Z. Zhang and S.Hu, "Low-Rank Structure Learning via Non-convex Heuristic Recovery", IEEE Transactions on Neural Network and Learning Systems, March, Pages 383-396, 2013 (Spotlight Paper)
• Yue Deng, Y. Liu, Q. Dai, Z. Zhang and Y. Wang, "Noisy Depth Maps Fusion for Multiview Stereo Via Matrix Completion", IEEE Journal of Selected Topics in Signal Processing, (IEEE J-STSP) Sep. Issue, 2012.
• Yue Deng, Q. Dai and Z. Zhang, "Graph Laplace for Partially Occluded Face Completion and Recognition", IEEE Transactions on Image Processing, (IEEE TIP) vol.20(8), 2329-2338, 2011.
• Yue Deng, Y. Zhao, Y.Liu and Q. Dai "Differences Help Recognition: A Probabilistic Interpretation", Plos ONE, 2013.
• Yue Deng, Q. Dai, R. Wang and Z. Zhang, "Commute Time Guided Transformation for Feature Extraction", Computer Vision and Image Understanding Vol. 116, Issue 4, April, Pages 473-483,2012.
• Yue Deng, and Q. Dai, "An Overview of Computational Sparse Models and Their Applications in Artificial Intelligence", Artificial Intelligence Book, Springer, 2012. (book chapter)
• Yue Deng, Y. Qian, Y. Li and Q. Dai, "Visual Words Assignment on A graph via Minimal Information Loss", British Machine Vision Conference (BMVC), 2012.
• Yue Deng, D. Li, X. Xie, K. Lam and Q. Dai, "Partially Occluded Face Completion and Recognition", IEEE International Conference on Image Processing (ICIP), 2009.
• Yue Deng, Q. Dai and Z. Zhang, "Feature extraction using randomwalks", IEEE Youth Conference on Information, Computing and Telecommunication, 2009. YC-ICT’09. IEEE, 2009.
• Genzhi Ye, Yebin Liu, Yue Deng, Nils Hasler, Xiangyang Ji, Qionghai Dai, Christian Theobalt, Free-viewpoint Video of Human Actors using Multiple Handheld Kinects, in IEEE Trans. Cybernetics, VOL. 43, NO. 5, 2013.
De la contraportada
This thesis primarily focuses on how to carry out intelligent sensing and understand the high-dimensional and low-quality visual information. After exploring the inherent structures of the visual data, it proposes a number of computational models covering an extensive range of mathematical topics, including compressive sensing, graph theory, probabilistic learning and information theory. These computational models are also applied to address a number of real-world problems including biometric recognition, stereo signal reconstruction, natural scene parsing, and SAR image processing.
"Sobre este título" puede pertenecer a otra edición de este libro.
Comprar nuevo
Ver este artículo
EUR 58,96
EUR 5,19 gastos de envío desde Reino Unido a España
Destinos, gastos y plazos de envío
Resultados de la búsqueda para High-Dimensional and Low-Quality Visual Information...
Imagen de archivo
High-Dimensional and Low-Quality Visual Information Processing: From Structured Sensing and Understanding (Springer Theses)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9783662525630_new
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
High-Dimensional and Low-Quality Visual Information Processing
Publicado por
Berlin Springer Berlin Heidelberg Springer Sep 2016, 2016
ISBN 10: 3662525631
ISBN 13: 9783662525630
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This thesis primarily focuses on how to carry out intelligent sensing and understand the high-dimensional and low-quality visual information. After exploring the inherent structures of the visual data, it proposes a number of computational models covering an extensive range of mathematical topics, including compressive sensing, graph theory, probabilistic learning and information theory. These computational models are also applied to address a number of real-world problems including biometric recognition, stereo signal reconstruction, natural scene parsing, and SAR image processing. 99 pp. Englisch. Nº de ref. del artículo: 9783662525630
Cantidad disponible: 2 disponibles
Imagen del vendedor
High-Dimensional and Low-Quality Visual Information Processing
Publicado por
Springer Berlin Heidelberg, 2016
ISBN 10: 3662525631
ISBN 13: 9783662525630
Nuevo
Kartoniert / Broschiert
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nominated by Tsinghua University as an outstanding Ph.D. thesisProposes a number of computational models to handle the Big Data challenges in visual information processingSolves a number of real-world computer vision tasks that includes bio. Nº de ref. del artículo: 458746261
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
High-Dimensional and Low-Quality Visual Information Processing : From Structured Sensing and Understanding
Publicado por
Springer, Berlin, Springer Berlin Heidelberg, Springer, 2016
ISBN 10: 3662525631
ISBN 13: 9783662525630
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This thesis primarily focuses on how to carry out intelligent sensing and understand the high-dimensional and low-quality visual information. After exploring the inherent structures of the visual data, it proposes a number of computational models covering an extensive range of mathematical topics, including compressive sensing, graph theory, probabilistic learning and information theory. These computational models are also applied to address a number of real-world problems including biometric recognition, stereo signal reconstruction, natural scene parsing, and SAR image processing. Nº de ref. del artículo: 9783662525630
Cantidad disponible: 2 disponibles
Imagen de archivo
High-dimensional and Low-quality Visual Information Processing : From Structured Sensing and Understanding
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 27727233-n
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
High-Dimensional and Low-Quality Visual Information Processing: From Structured Sensing and Understanding (Springer Theses)
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9783662525630
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
High-Dimensional and Low-Quality Visual Information Processing : From Structured Sensing and Understanding
Librería: Chiron Media, Wallingford, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
PF. Condición: New. Nº de ref. del artículo: 6666-IUK-9783662525630
Cantidad disponible: 10 disponibles
Imagen de archivo
High-Dimensional and Low-Quality Visual Information Processing: From Structured Sensing and Understanding (Springer Theses)
Librería: Best Price, Torrance, CA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. SUPER FAST SHIPPING. Nº de ref. del artículo: 9783662525630
Cantidad disponible: 1 disponibles
Imagen del vendedor
High-dimensional and Low-quality Visual Information Processing : From Structured Sensing and Understanding
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 27727233-n
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
High-dimensional and Low-quality Visual Information Processing: From Structured Sensing and Understanding
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. reprint edition. 116 pages. 9.25x6.10x0.28 inches. In Stock. Nº de ref. del artículo: x-3662525631
Cantidad disponible: 2 disponibles