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Euhanna Ghadimi. Ericsson AB, Sweden. Verified email at Morteza Haghir Chehreghani Abstract We study Minimax distance measures for K-nearest neighbor search and classification. Recently, the use of this distance measure is shown to improve the K-nearest neighbor classification results. We consider the computational aspects of this problem and propose 12/21/2018 ∙ by Morteza Haghir Chehreghani, et al. ∙ Chalmers University of Technology ∙ 0 ∙ share We study nonparametric feature extraction from hierarchies. The commonly used Minimax distance measures correspond to building a dendrogram with single linkage criterion, with the definition of specific forms of a level function and a distance function over that.
Sebastien Gros Automatic Control. Chalmers AI Research Centre (CHAIR) Chalmers. 2019–2022. Modelling and optimization of energy management systems for plug-in hybrid vehicles. Read more about Frank-Wolfe Optimization for Dominant Set Clustering (ZOOM: https://chalmers.zoom.us/j/62497622669); Active Learning for Artificial Neural Networks Morteza Haghir Chehreghani.
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morteza.chehreghani@chalmers.se +46317726415 Hitta till mig Read more about Active Learning for Artificial Neural Networks (Zoom link: https://chalmers.zoom.us/j/69556986938?pwd=TjFHTGhlNlJmRkRoMzVtNDBIRlBMUT09 password Morteza Haghir Chehreghani's research while affiliated with Chalmers University of Technology and other places. Morteza Haghir Chehreghani's research. while affiliated with.
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Follow. Euhanna Ghadimi. Ericsson AB, Sweden. Verified email at ericsson.com. Optimization Machine Learning Network optimization Wireless Networks. Articles Cited by Public access Co-authors. Title.
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Morteza Haghir Chehreghani är 39 år och bor på Doktor Hjorts Gata 1 D i Göteborg. Här finns mest information om privatpersoner. 23 feb 1982 Född 23 februari, 1982 - Morteza är ogift och skriven i bostadsrätt på Doktor Hjorts gata 1 D lgh 1303. Inga fler över 16 år är skrivna här.
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[2] Morteza Haghir Chehreghani, “K-Nearest Neighbor Search and Outlier Detection via Minimax Distances”, SIAM International Conference on Data Mining (SDM), 2016. Morteza Haghir Chehreghani is Associate Professor of AI and Machine Learning at Chalmers University of Technology, Department of Computer Science and Engineering, Data Science and AI division. He holds a Ph.D. in Computer Science (AI/Machine Learning group) from ETH Zurich (2014). Welcome to Chalmers AI Research Center, CHAIR Spotlight on Research.
Chehreghani. I am an Associate Professor in Machine Learning and Artificial Intelligence at the Department of Computer Science and Engineering, Chalmers University of Technology. I obtained my Ph.D. from ETH Zurich in 2014, where I worked at the Machine Learning Institute under the supervision of Prof. Joachim M. Buhmann. Morteza Haghir Chehreghani Data Science. Chalmers.
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Morteza Haghir Chehreghani is Associate Professor of AI and Machine Learning at Chalmers University of Technology, Department of Computer Science and Engineering, Data Science and AI division. He holds a Ph.D. in Computer Science (AI/Machine Learning group) from ETH Zurich (2014). After the Ph.D., he joined Xerox Research as a Staff Research Morteza Haghir Chehreghani. is this you? claim profile. ∙ 0 followers.
[2] Morteza Haghir Chehreghani, “K-Nearest Neighbor Search and Outlier Detection via Minimax Distances”, SIAM International Conference on Data Mining (SDM), 2016. Morteza Haghir Chehreghani is Associate Professor of AI and Machine Learning at Chalmers University of Technology, Department of Computer Science and Engineering, Data Science and AI division. He holds a Ph.D. in Computer Science (AI/Machine Learning group) from ETH Zurich (2014). Welcome to Chalmers AI Research Center, CHAIR Spotlight on Research.
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Morteza Haghir Chehreghani - Chalmers Research
Chalmers University of Technology - Cited by 549 - Artificial Intelligence - Machine Learning - Data Science 2021年1月13日 Eberstein,Jonas Sjöblom,Nikolce Murgovski,Morteza Haghir Chehreghani.