Maldição da dimensionalidade (Portuguese Wikipedia)

Analysis of information sources in references of the Wikipedia article "Maldição da dimensionalidade" in Portuguese language version.

refsWebsite

Global rank Portuguese rank

18doi.org

2^nd place

4^th place

4nih.gov

4^th place

8^th place

2books.google.com

3^rd place

6^th place

2harvard.edu

18^th place

51^st place

2arxiv.org

69^th place

195^th place

1youtube.com

9^th place

39^th place

1elsevier.com

610^th place

360^th place

1ams.org

451^st place

981^st place

1cv-foundation.org

low place

1neurips.cc

low place

1wisc.edu

1,045^th place

1,067^th place

1ieee.org

652^nd place

920^th place

1worldcat.org

5^th place

1psu.edu

207^th place

589^th place

1lmu.de

low place

1jmlr.org

low place

ams.org

McLachlan, G. J. (2004). Discriminant Analysis and Statistical Pattern Recognition. [S.l.]: Wiley Interscience. ISBN 978-0-471-69115-0. MR 1190469

arxiv.org

Gorban, Alexander N.; Makarov, Valery A.; Tyukin, Ivan Y. (2020). «High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality». Entropy. 22 (1). 82 páginas. Bibcode:2020Entrp..22...82G. PMC 7516518. PMID 33285855. arXiv:2001.04959. doi:10.3390/e22010082
Gorban, Alexander N.; Tyukin, Ivan Y. (2018). «Blessing of dimensionality: mathematical foundations of the statistical physics of data». Phil. Trans. R. Soc. A. 376 (2118). 20170237 páginas. Bibcode:2018RSPTA.37670237G. PMC 5869543. PMID 29555807. arXiv:1801.03421. doi:10.1098/rsta.2017.0237

books.google.com

Bellman, Richard Ernest; Rand Corporation (1957). Dynamic programming. [S.l.]: Princeton University Press. ISBN 978-0-691-07951-6 ,

Republished: Bellman, Richard Ernest (2003). Dynamic Programming. [S.l.]: Courier Dover Publications. ISBN 978-0-486-42809-3
Bellman, Richard Ernest (1961). Adaptive control processes: a guided tour. [S.l.]: Princeton University Press. ISBN 9780691079011

cv-foundation.org

Schroff, Florian; Kalenichenko, Dmitry; Philbin, James (junho de 2015). «FaceNet: A unified embedding for face recognition and clustering» (PDF). 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR): 815–823. doi:10.1109/CVPR.2015.7298682

doi.org

dx.doi.org

Hughes, G.F. (janeiro de 1968). «On the mean accuracy of statistical pattern recognizers». IEEE Transactions on Information Theory. 14 (1): 55–63. doi:10.1109/TIT.1968.1054102
Trunk, G. V. (julho de 1979). «A Problem of Dimensionality: A Simple Example». IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-1 (3): 306–307. PMID 21868861. doi:10.1109/TPAMI.1979.4766926
B. Chandrasekaran; A. K. Jain (1974). «Quantization Complexity and Independent Measurements». IEEE Transactions on Computers. 23 (8): 102–106. doi:10.1109/T-C.1974.223789
A. Zollanvari; A. P. James; R. Sameni (2020). «A Theoretical Analysis of the Peaking Phenomenon in Classification». Journal of Classification. 37 (2): 421–434. doi:10.1007/s00357-019-09327-3
Schroff, Florian; Kalenichenko, Dmitry; Philbin, James (junho de 2015). «FaceNet: A unified embedding for face recognition and clustering» (PDF). 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR): 815–823. doi:10.1109/CVPR.2015.7298682
Bailey, D.H.; Borwein, J.M.; Crandall, R.E. (2006), «Box integrals», Journal of Computational and Applied Mathematics, 206: 196–208, doi:10.1016/j.cam.2006.06.010
Beyer, K.; Goldstein, J.; Ramakrishnan, R.; Shaft, U. (1999). «When is "Nearest Neighbor" Meaningful?». Database Theory — ICDT'99. Proc. 7th International Conference on Database Theory - ICDT'99. Col: LNCS. 1540. [S.l.: s.n.] pp. 217–235. ISBN 978-3-540-65452-0. doi:10.1007/3-540-49257-7_15
Zimek, A.; Schubert, E.; Kriegel, H.-P. (2012). «A survey on unsupervised outlier detection in high-dimensional numerical data». Statistical Analysis and Data Mining. 5 (5): 363–387. doi:10.1002/sam.11161
Lin, Wen-Yan; Liu, Siying; Ren, Changhao; Cheung, Ngai-Man; Li, Hongdong; Matsushita, Yasuyuki (2021). «Shell Theory: A Statistical Model of Reality». IEEE Transactions on Pattern Analysis and Machine Intelligence. 44 (10): 6438–6453. ISSN 1939-3539. PMID 34048335. doi:10.1109/TPAMI.2021.3084598
Marimont, R.B.; Shapiro, M.B. (1979). «Nearest Neighbour Searches and the Curse of Dimensionality». IMA J Appl Math. 24 (1): 59–70. doi:10.1093/imamat/24.1.59
Chávez, Edgar; Navarro, Gonzalo; Baeza-Yates, Ricardo; Marroquín, José Luis (2001). «Searching in Metric Spaces». ACM Computing Surveys. 33 (3): 273–321. CiteSeerX 10.1.1.100.7845. doi:10.1145/502807.502808
Houle, M. E.; Kriegel, H. P.; Kröger, P.; Schubert, E.; Zimek, A. (2010). Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? (PDF). Scientific and Statistical Database Management. Lecture Notes in Computer Science. 6187. 482 páginas. ISBN 978-3-642-13817-1. doi:10.1007/978-3-642-13818-8_34
Bernecker, T.; Houle, M. E.; Kriegel, H. P.; Kröger, P.; Renz, M.; Schubert, E.; Zimek, A. (2011). Quality of Similarity Rankings in Time Series. Symposium on Spatial and Temporal Databases. Lecture Notes in Computer Science. 6849. 422 páginas. ISBN 978-3-642-22921-3. doi:10.1007/978-3-642-22922-0_25
Radovanović, M.; Nanopoulos, A.; Ivanović, M. (2010). On the existence of obstinate results in vector space models. 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10. 186 páginas. ISBN 9781450301534. doi:10.1145/1835449.1835482
Kainen, Paul C. (1997), «Utilizing Geometric Anomalies of High Dimension: When Complexity Makes Computation Easier», in: Kárný, K., Computer Intensive Methods in Control and Signal Processing, pp. 283–294, doi:10.1007/978-1-4612-1996-5_18 |editor-last1= e |editor1= redundantes (ajuda)
Gorban, Alexander N.; Makarov, Valery A.; Tyukin, Ivan Y. (2020). «High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality». Entropy. 22 (1). 82 páginas. Bibcode:2020Entrp..22...82G. PMC 7516518. PMID 33285855. arXiv:2001.04959. doi:10.3390/e22010082
Gorban, Alexander N.; Tyukin, Ivan Y. (2018). «Blessing of dimensionality: mathematical foundations of the statistical physics of data». Phil. Trans. R. Soc. A. 376 (2118). 20170237 páginas. Bibcode:2018RSPTA.37670237G. PMC 5869543. PMID 29555807. arXiv:1801.03421. doi:10.1098/rsta.2017.0237
Pestov, Vladimir (2013). «Is the k-NN classifier in high dimensions affected by the curse of dimensionality?». Comput. Math. Appl. 65 (10): 43–56. doi:10.1016/j.camwa.2012.09.011

elsevier.com

Koutroumbas, Konstantinos; Theodoridis, Sergios (2008). Pattern Recognition 4th ed. Burlington: [s.n.] ISBN 978-1-59749-272-0. Consultado em 8 de janeiro de 2018

harvard.edu

ui.adsabs.harvard.edu

Gorban, Alexander N.; Makarov, Valery A.; Tyukin, Ivan Y. (2020). «High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality». Entropy. 22 (1). 82 páginas. Bibcode:2020Entrp..22...82G. PMC 7516518. PMID 33285855. arXiv:2001.04959. doi:10.3390/e22010082
Gorban, Alexander N.; Tyukin, Ivan Y. (2018). «Blessing of dimensionality: mathematical foundations of the statistical physics of data». Phil. Trans. R. Soc. A. 376 (2118). 20170237 páginas. Bibcode:2018RSPTA.37670237G. PMC 5869543. PMID 29555807. arXiv:1801.03421. doi:10.1098/rsta.2017.0237

ieee.org

ieeexplore.ieee.org

Lin, Wen-Yan; Liu, Siying; Ren, Changhao; Cheung, Ngai-Man; Li, Hongdong; Matsushita, Yasuyuki (2021). «Shell Theory: A Statistical Model of Reality». IEEE Transactions on Pattern Analysis and Machine Intelligence. 44 (10): 6438–6453. ISSN 1939-3539. PMID 34048335. doi:10.1109/TPAMI.2021.3084598

jmlr.org

Radovanović, Miloš; Nanopoulos, Alexandros; Ivanović, Mirjana (2010). «Hubs in space: Popular nearest neighbors in high-dimensional data» (PDF). Journal of Machine Learning Research. 11: 2487–2531

lmu.de

dbs.ifi.lmu.de

Houle, M. E.; Kriegel, H. P.; Kröger, P.; Schubert, E.; Zimek, A. (2010). Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? (PDF). Scientific and Statistical Database Management. Lecture Notes in Computer Science. 6187. 482 páginas. ISBN 978-3-642-13817-1. doi:10.1007/978-3-642-13818-8_34

neurips.cc

proceedings.neurips.cc

Yin, Zi; Shen, Yuanyuan (2018). «On the Dimensionality of Word Embedding» (PDF). Curran Associates, Inc. Advances in Neural Information Processing Systems. 31

nih.gov

ncbi.nlm.nih.gov

Trunk, G. V. (julho de 1979). «A Problem of Dimensionality: A Simple Example». IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-1 (3): 306–307. PMID 21868861. doi:10.1109/TPAMI.1979.4766926
Lin, Wen-Yan; Liu, Siying; Ren, Changhao; Cheung, Ngai-Man; Li, Hongdong; Matsushita, Yasuyuki (2021). «Shell Theory: A Statistical Model of Reality». IEEE Transactions on Pattern Analysis and Machine Intelligence. 44 (10): 6438–6453. ISSN 1939-3539. PMID 34048335. doi:10.1109/TPAMI.2021.3084598
Gorban, Alexander N.; Makarov, Valery A.; Tyukin, Ivan Y. (2020). «High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality». Entropy. 22 (1). 82 páginas. Bibcode:2020Entrp..22...82G. PMC 7516518. PMID 33285855. arXiv:2001.04959. doi:10.3390/e22010082
Gorban, Alexander N.; Tyukin, Ivan Y. (2018). «Blessing of dimensionality: mathematical foundations of the statistical physics of data». Phil. Trans. R. Soc. A. 376 (2118). 20170237 páginas. Bibcode:2018RSPTA.37670237G. PMC 5869543. PMID 29555807. arXiv:1801.03421. doi:10.1098/rsta.2017.0237

psu.edu

citeseerx.ist.psu.edu

Chávez, Edgar; Navarro, Gonzalo; Baeza-Yates, Ricardo; Marroquín, José Luis (2001). «Searching in Metric Spaces». ACM Computing Surveys. 33 (3): 273–321. CiteSeerX 10.1.1.100.7845. doi:10.1145/502807.502808

wisc.edu

digital.library.wisc.edu

Beyer, K.; Goldstein, J.; Ramakrishnan, R.; Shaft, U. (1999). «When is "Nearest Neighbor" Meaningful?». Database Theory — ICDT'99. Proc. 7th International Conference on Database Theory - ICDT'99. Col: LNCS. 1540. [S.l.: s.n.] pp. 217–235. ISBN 978-3-540-65452-0. doi:10.1007/3-540-49257-7_15

worldcat.org

Lin, Wen-Yan; Liu, Siying; Ren, Changhao; Cheung, Ngai-Man; Li, Hongdong; Matsushita, Yasuyuki (2021). «Shell Theory: A Statistical Model of Reality». IEEE Transactions on Pattern Analysis and Machine Intelligence. 44 (10): 6438–6453. ISSN 1939-3539. PMID 34048335. doi:10.1109/TPAMI.2021.3084598

youtube.com

Curse of Dimensionality - Georgia Tech - Machine Learning (em inglês), consultado em 29 de junho de 2022