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1Academic Journal
المؤلفون: Elliot J. Crowley, Gavin Gray, Jack Turner, Amos Storkey
المصدر: IEEE Access, Vol 9, Pp 83199-83213 (2021)
مصطلحات موضوعية: Machine learning, deep neural networks, computer vision, DNN compression, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
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المؤلفون: Chenhongyi Yang, Mateusz Ochal, Amos Storkey, Elliot J. Crowley
المصدر: Lecture Notes in Computer Science ISBN: 9783031200762
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المؤلفون: Jack Turner, Elliot J. Crowley, Michael O'Boyle
المصدر: ASPLOS
Turner, J, Crowley, E J & O'Boyle, M F P 2021, Neural Architecture Search as Program Transformation Exploration . in Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2021) . pp. 915–927, 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Virtual, United States, 19/04/21 . https://doi.org/10.1145/3445814.3446753مصطلحات موضوعية: FOS: Computer and information sciences, Scheme (programming language), Computer Science - Machine Learning, program transformations, Theoretical computer science, Exploit, Computer science, Inference, 02 engineering and technology, 010501 environmental sciences, computer.software_genre, 01 natural sciences, Machine Learning (cs.LG), Robustness (computer science), 0202 electrical engineering, electronic engineering, information engineering, 0105 earth and related environmental sciences, computer.programming_language, Computer Science - Programming Languages, Memory hierarchy, Artificial neural network, Program transformation, 020207 software engineering, neural networks, Compiler, computer, Programming Languages (cs.PL)
وصف الملف: application/pdf
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المؤلفون: José Cano, Jack Turner, Amos Storkey, Michael O'Boyle, Perry Gibson, Elliot J. Crowley
المصدر: Gibson, P, Cano, J, Turner, J, Crowley, E J, O'Boyle, M F P & Storkey, A J 2020, Optimizing Grouped Convolutions on Edge Devices . in 2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP) . Institute of Electrical and Electronics Engineers (IEEE), pp. 189-196, 31st IEEE International Conference on Application-specific Systems, Architectures and Processors, Machester, United Kingdom, 6/07/20 . https://doi.org/10.1109/ASAP49362.2020.00039
ASAPمصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Edge device, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Inference, Machine Learning (stat.ML), 02 engineering and technology, 010501 environmental sciences, 01 natural sciences, Machine Learning (cs.LG), Set (abstract data type), I.2.6, D.3.4, C.1.4, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Code (cryptography), Implementation, 0105 earth and related environmental sciences, Artificial neural network, business.industry, Deep learning, Computer engineering, Computer Science - Distributed, Parallel, and Cluster Computing, 020201 artificial intelligence & image processing, Artificial intelligence, Distributed, Parallel, and Cluster Computing (cs.DC), business
وصف الملف: application/pdf
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5
المؤلفون: Valentin Radu, Amos Storkey, Elliot J. Crowley, Michael O'Boyle, José Cano, Yuan Wen, Kuba Kaszyk, Björn Franke, Jack Turner
المصدر: IISWC
Radu, V, Kaszyk, K, Wen, Y, Turner, J, Cano, J, Crowley, E, Franke, B, Storkey, A & O'Boyle, M 2020, Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs . in 2019 IEEE International Symposium on Workload Characterization (IISWC) . Institute of Electrical and Electronics Engineers (IEEE), Orlando, FL, USA, pp. 24-34, 2019 IEEE International Symposium on Workload Characterization, Orlando, United States, 3/11/19 . https://doi.org/10.1109/IISWC47752.2019.9042000مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial neural network, Computer science, channel pruning, Machine Learning (stat.ML), 02 engineering and technology, embedded GPU, 010501 environmental sciences, 01 natural sciences, Porting, Convolutional neural network, 020202 computer hardware & architecture, Machine Learning (cs.LG), Reduction (complexity), CUDA, Computer engineering, Statistics - Machine Learning, convolutional neural networks, 0202 electrical engineering, electronic engineering, information engineering, Code (cryptography), Pruning (decision trees), 0105 earth and related environmental sciences, Communication channel
وصف الملف: application/pdf
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المؤلفون: Elliot J. Crowley, Andrew Zisserman, Omkar M. Parkhi
المصدر: Crowley, E, Parkhi, O M & Zisserman, A 2015, Face Painting: querying art with photos . in British Machine Vision Conference, 2015 . < http://www.bmva.org/bmvc/2015/papers/paper065/paper065.pdf >
BMVCمصطلحات موضوعية: Painting, Information retrieval, Matching (graph theory), Computer science, business.industry, Matrix (music), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Representation (arts), Convolutional neural network, Style (visual arts), Face (geometry), Computer vision, Artificial intelligence, business, Classifier (UML)
وصف الملف: application/pdf
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المؤلفون: Michael OrBoyle, Amos Storkey, José Cano, Valentin Radu, Jack Turner, Elliot J. Crowley
المصدر: IISWC
2018 IEEE International Symposium on Workload Characterization (IISWC)
arXiv.org e-Print Archive
Turner, J, Cano Reyes, J, Radu, V, Crowley, E, O'Boyle, M & Storkey, A 2018, Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks . in Proceedings of the-Workload Characterization (IISWC), 2018 IEEE International Symposium on . Institute of Electrical and Electronics Engineers (IEEE), Raleigh, North Carolina, USA, pp. 101-110, 2018 IEEE International Symposium on Workload Characterization, Raleigh, North Carolina, United States, 30/09/18 . https://doi.org/10.1109/IISWC.2018.8573503مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Edge device, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Machine Learning (stat.ML), 02 engineering and technology, 010501 environmental sciences, 01 natural sciences, Convolutional neural network, Machine Learning (cs.LG), Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Pruning (decision trees), 0105 earth and related environmental sciences, Computer Science - Performance, Artificial neural network, business.industry, Deep learning, Mobile robot, Performance (cs.PF), Computer engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, Communication channel, Data compression
وصف الملف: application/pdf
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المؤلفون: Andrew Zisserman, Elliot J. Crowley
المساهمون: Hua, Gang, Jégou, Hervé
المصدر: Lecture Notes in Computer Science ISBN: 9783319466033
ECCV Workshops (1)
Crowley, E J & Zisserman, A 2016, The Art of Detection . in G Hua & H Jégou (eds), Computer Vision--ECCV 2016 Workshops : Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I . Lecture Notes in Computer Science, vol. 9913, Cham, pp. 721-737, European Conference on Computer Vision 2016 Workshops, Amsterdam, Netherlands, 8/10/16 . https://doi.org/10.1007/978-3-319-46604-0_50مصطلحات موضوعية: Query expansion, Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 0202 electrical engineering, electronic engineering, information engineering, 020207 software engineering, 020201 artificial intelligence & image processing, Pattern recognition, 02 engineering and technology, Artificial intelligence, business, Convolutional neural network, Classifier (UML)
وصف الملف: application/pdf
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المؤلفون: Elliot J. Crowley, Andrew Zisserman
المصدر: Computer Vision-ECCV 2014 Workshops ISBN: 9783319161778
ECCV Workshops (1)مصطلحات موضوعية: Painting, Information retrieval, Work (electrical), Computer science, Natural (music)
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المؤلفون: Elliot J. Crowley, Andrew Zisserman
المصدر: BMVC
Crowley, E & Zisserman, A 2014, The State of the Art: Object Retrieval in Paintings using Discriminative Regions . in British Machine Vision Conference, 2014 .مصطلحات موضوعية: Painting, Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Pattern recognition, Pascal (programming language), Discriminative model, Depiction, Spatial consistency, Artificial intelligence, business, computer, ComputingMethodologies_COMPUTERGRAPHICS, computer.programming_language
وصف الملف: application/pdf
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المؤلفون: Andrew Zisserman, Elliot J. Crowley
المصدر: BMVC
مصطلحات موضوعية: Computer science, business.industry, Supervised learning, Artificial intelligence, computer.software_genre, business, computer, Literal and figurative language, Natural language processing
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