Segmentation-based object categorization (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Segmentation-based object categorization" in English language version.

refsWebsite

Global rank English rank

3researchgate.net

120^th place

125^th place

2doi.org

2^nd place

2nih.gov

4^th place

1harvard.edu

18^th place

17^th place

1scikit-learn.org

low place

1uwo.ca

5,491^st place

3,397^th place

1escholarship.org

1,523^rd place

976^th place

1ethz.ch

2,224^th place

1,900^th place

1berkeley.edu

580^th place

462^nd place

1weizmann.ac.il

4,983^rd place

8,002^nd place

berkeley.edu

people.eecs.berkeley.edu

J. Winn, N. Joijic. Locus: Learning object classes with unsupervised segmentation. In Proceedings of the IEEE International Conference on Computer Vision, Beijing, 2005.

doi.org

Lopez, Clélia; Leclercq, Ludovic; Krishnakumari, Panchamy; Chiabaut, Nicolas; Van Lint, Hans (25 October 2017). "Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps". Scientific Reports. 7 (14029): 14029. Bibcode:2017NatSR...714029L. doi:10.1038/s41598-017-14237-8. PMC 5656590. PMID 29070859.
Knyazev, Andrew V. (2006). Multiscale Spectral Image Segmentation Multiscale preconditioning for computing eigenvalues of graph Laplacians in image segmentation. Fast Manifold Learning Workshop, WM Williamburg, VA. doi:10.13140/RG.2.2.35280.02565.

escholarship.org

cloudfront.escholarship.org

Z. Tu, X. Chen, A. L. Yuille, S. C. Zhu: Image Parsing: Unifying Segmentation, Detection, and Recognition. Toward Category-Level Object Recognition 2006: 545–576

ethz.ch

vision.ee.ethz.ch

B. Leibe, A. Leonardis, B. Schiele: An Implicit Shape Model for Combined Object Categorization and Segmentation. Toward Category-Level Object Recognition 2006: 508–524

harvard.edu

ui.adsabs.harvard.edu

Lopez, Clélia; Leclercq, Ludovic; Krishnakumari, Panchamy; Chiabaut, Nicolas; Van Lint, Hans (25 October 2017). "Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps". Scientific Reports. 7 (14029): 14029. Bibcode:2017NatSR...714029L. doi:10.1038/s41598-017-14237-8. PMC 5656590. PMID 29070859.

nih.gov

ncbi.nlm.nih.gov

Lopez, Clélia; Leclercq, Ludovic; Krishnakumari, Panchamy; Chiabaut, Nicolas; Van Lint, Hans (25 October 2017). "Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps". Scientific Reports. 7 (14029): 14029. Bibcode:2017NatSR...714029L. doi:10.1038/s41598-017-14237-8. PMC 5656590. PMID 29070859.

pubmed.ncbi.nlm.nih.gov

Lopez, Clélia; Leclercq, Ludovic; Krishnakumari, Panchamy; Chiabaut, Nicolas; Van Lint, Hans (25 October 2017). "Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps". Scientific Reports. 7 (14029): 14029. Bibcode:2017NatSR...714029L. doi:10.1038/s41598-017-14237-8. PMC 5656590. PMID 29070859.

researchgate.net

Knyazev, Andrew V. (2003). Boley; Dhillon; Ghosh; Kogan (eds.). Modern preconditioned eigensolvers for spectral image segmentation and graph bisection. Clustering Large Data Sets; Third IEEE International Conference on Data Mining (ICDM 2003) Melbourne, Florida: IEEE Computer Society. pp. 59–62.
Knyazev, Andrew V. (2006). Multiscale Spectral Image Segmentation Multiscale preconditioning for computing eigenvalues of graph Laplacians in image segmentation. Fast Manifold Learning Workshop, WM Williamburg, VA. doi:10.13140/RG.2.2.35280.02565.
Knyazev, Andrew V. (2006). Multiscale Spectral Graph Partitioning and Image Segmentation. Workshop on Algorithms for Modern Massive Datasets Stanford University and Yahoo! Research.

scikit-learn.org

"Spectral Clustering — scikit-learn documentation".

uwo.ca

csd.uwo.ca

E. Borenstein, S. Ullman: Class-specific, top-down segmentation. In Proceedings of the 7th European Conference on Computer Vision, Copenhagen, Denmark, pages 109–124, 2002.

weizmann.ac.il

wisdom.weizmann.ac.il

J. M. Winn, J. Shotton: The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects. CVPR (1) 2006: 37–44