Chalmers University of Technology Examiner: Morteza Haghir Chehreghani, Department of Computer Science and Engineering Master’sThesis2019
Morteza Haghir Chehreghani is this you? claim profile ∙ 0 followers Chalmers University of Technology Research Scientist at Xerox Research Center Europe ( NAVER
We present a unified and computationally efficient Time Title Student(s) Examiner ; 14:00 - 15:00. Frank-Wolfe Optimization for Dominant Set Clustering (ZOOM: https://chalmers.zoom.us/j/62497622669) Morteza Haghir Chehreghani, Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden Abstract We propose a hierarchical correlation clustering method that extends the well-known correlation clustering to produce hierarchical clusters. We then investigate Chalmers University of Technology University of Gothenburg Gothenburg,Sweden2019. Supervisor: Morteza Haghir Chehreghani, Department of Computer Science and Ashkan Panahi ashkan.panahi@chalmers.se Arman Rahbar armanr@chalmers.se Morteza Haghir Chehreghani morteza.chehreghani@chalmers.se Devdatt Dubhashi dubhashi@chalmers.se Department of Computer Science and Engineering Chalmers University of Technology Gothenburg, Sweden Hamid Krim ahk@ncsu.edu Department of Electrical Engineering North Carolina Niklas Akerblom˚ 1;3, Yuxin Chen2 and Morteza Haghir Chehreghani3 1Volvo Car Corporation 2The University of Chicago 3Chalmers University of Technology niklas.akerblom@chalmers.se, chenyuxin@uchicago.edu, morteza.chehreghani@chalmers.se Abstract Energy-efficient navigation constitutes an impor-tant challenge in electric vehicles, due to their lim- Attaining Higher Quality for Density Based Algorithms Morteza Haghir Chehreghani, Hassan Abolhassani, Mostafa Haghir Chehreghani. rr 2007 : 329-338 [doi] Mining Maximal Embedded Unordered Tree Patterns Mostafa Haghir Chehreghani , Masoud Rahgozar , Caro Lucas , Morteza Haghir Chehreghani .
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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.
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DC Field Value Language; dc.contributor.author: Carlström, Herman-dc.contributor.author: Slottner Seholm, Filip-dc.contributor.department: Chalmers tekniska
- Statistics Colloquium (3) Niklas Akerblom, Yuxin Chen, Morteza Haghir Chehreghani. An Online Learning Morteza Haghir Chehreghani. Docent vid Data- och informationsteknik.
Erik Thiel, Morteza Haghir Chehreghani, Devdatt Dubhashi THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES …
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. 机构：Jonas Sjoblom, Chalmers University of Technology, SE-, Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani, Learning representations from dendrograms. Mach. Learn. (MLJ) 109(9-10), pp.
Morteza Haghir Chehreghani's research.
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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.
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Read more about Frank-Wolfe Optimization for Dominant Set Clustering (ZOOM: https://chalmers.zoom.us/j/62497622669); Active Learning for Artificial Neural Networks
in Computer Science (AI/Machine Learning group) from ETH Zurich (2014). Chalmers forskningsinformation, projekt och publikationer för Morteza Haghir Chehreghani Chalmers University of Technology - Cited by 575 - Artificial Intelligence - Machine Learning - Data Science Morteza Haghir Chehreghani is this you? claim profile ∙ 0 followers Chalmers University of Technology Research Scientist at Xerox Research Center Europe ( NAVER Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani, Caro Lucas, Masoud Rahgozar: OInduced: An Efficient Algorithm for Mining Induced Patterns From Rooted Ordered Trees. IEEE Trans. Syst. Man Cybern.
Erik Thiel, Morteza Haghir Chehreghani, Devdatt Dubhashi THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, p. 5159-5166
Mach. Learn. (MLJ) 109(9-10), pp. 1779- 1802, 2020.
Chalmers University of View Morteza Haghir Chehreghani's profile on Publons. Morteza Haghir Chehreghani. "Morteza Chehreghani". Web of Science ResearcherID Q-5266- Morteza Haghir Chehreghani är 39 år och bor på Doktor Hjorts Gata 1 D i Göteborg. Här finns mest information om privatpersoner.