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Author |
Michael Teutsch, Angel Sappa & Riad Hammoud |
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Computer Vision in the Infrared Spectrum: Challenges and ApproachesComputer Vision in the Infrared Spectrum: Challenges and Approaches |
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Journal Article |
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2021 |
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Synthesis Lectures on Computer Vision |
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Vol. 10 No. 2 |
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pp. 138 |
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cidis @ cidis @ |
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166 |
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Author |
Patricia L. Suarez, Dario Carpio, Angel D. Sappa and Henry O. Velesaca |
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Title |
Transformer based Image Dehazing. |
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Conference Article |
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2022 |
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16TH International Conference On Signal Image Technology & Internet Based Systems SITIS 2022. |
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148-154 |
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cidis @ cidis @ |
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195 |
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Author |
Cristhian A. Aguilera; Xaver Soria; Angel D. Sappa; Ricardo Toledo |
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Title |
RGBN Multispectral Images: a Novel Color Restoration Approach |
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Conference Article |
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2017 |
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15th International Conference on Practical Applications of Agents and Multi-Agent Systems |
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619 |
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155-163 |
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cidis @ cidis @ |
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59 |
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Author |
Cristina L. Abad; Yi Lu; Roy H. Campbell |
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Title |
DARE: Adaptive Data Replication for Efficient Cluster Scheduling |
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2011 |
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IEEE International Conference on Cluster Computing, 2011 |
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159 - 168 |
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MapReduce, replication, scheduling, locality |
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Abstract |
Placing data as close as possible to computation is a common practice of data intensive systems, commonly referred to as the data locality problem. By analyzing existing production systems, we confirm the benefit of data locality and find that data have different popularity and varying correlation of accesses. We propose DARE, a distributed adaptive data replication algorithm that aids the scheduler to achieve better data locality. DARE solves two problems, how many replicas to allocate for each file and where to place them, using probabilistic sampling and a competitive aging algorithm independently at each node. It takes advantage of existing remote data accesses in the system and incurs no extra network usage. Using two mixed workload traces from Facebook, we show that DARE improves data locality by more than 7 times with the FIFO scheduler in Hadoop and achieves more than 85% data locality for the FAIR scheduler with delay scheduling. Turnaround time and job slowdown are reduced by 19% and 25%, respectively. |
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English |
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yes |
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cidis @ cidis @ |
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21 |
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Author |
Jorge Alvarez; Mireya Zapata; Dennys Paillacho |
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Title |
Mechanical Design of a spatial mechanism for the robot head movements in social robotics for the evaluation of Human-Robot Interaction. |
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Conference Article |
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2019 |
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2nd International Conference on Human Systems Engineering and Design: Future Trends and Applications (IHSED 2019); Munich, Alemania |
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1026 |
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160-165 |
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gtsi @ user @ |
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104 |
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Author |
Luis C. Herrera, Leslie del R. Lima, Nayeth I. Solorzano, Jonathan S. Paillacho & Dennys Paillacho. |
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Title |
Metrics Design of Usability and Behavior Analysis of a Human-Robot-Game Platform. |
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Conference Article |
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Year |
2021 |
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The 2nd International Conference on Applied Technologies (ICAT 2020), diciembre 2-4. Communication in Computer and Information Science |
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1388 |
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164-178 |
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no |
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cidis @ cidis @ |
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191 |
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Author |
Viñán-Ludeña, M.S., Roberto Jacome Galarza, Montoya, L.R., Leon, A.V., & Ramírez, C.C. |
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Title |
Smart university: an architecture proposal for information management using open data for research projects. |
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Journal Article |
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2020 |
Publication |
Advances in Intelligent Systems and Computing |
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1137 AISC, 2020 |
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172-178 |
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no |
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Call Number |
cidis @ cidis @ |
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188 |
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Author |
Patricia L. Suárez, Dario Carpio, and Angel Sappa |
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Title |
Non-Homogeneous Haze Removal through a Multiple Attention Module Architecture. |
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Conference Article |
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Year |
2021 |
Publication |
16 International Symposium on Visual Computing. Octubre 4-6, 2021. Lecture Notes in Computer Science |
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13018 |
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178-190 |
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cidis @ cidis @ |
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162 |
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Author |
Dennis G. Romero, Anselmo Frizera N., & Teodiano Freire B. |
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Title |
Reconocimiento en-línea de acciones humanas basado en patrones de RWE aplicado en ventanas dinámicas de momentos invariantes. |
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2014 |
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Revista Iberoamericana de Automática e Informática industrial 00 (2014) |
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Vol. 11 |
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pp. 202-211 |
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cidis @ cidis @ |
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220 |
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Author |
Patricia L. Suárez, Angel D. Sappa and Boris X. Vintimilla |
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Title |
Deep learning-based vegetation index estimation |
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Book Chapter |
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Year |
2021 |
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Generative Adversarial Networks for Image-to-Image Translation Book. |
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Chapter 9 |
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Issue 2 |
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205-232 |
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cidis @ cidis @ |
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137 |
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