Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Donna Haverkamp"'
Autor:
Ellen K. Hughes, Priscila Pereira Coltri, Donna Haverkamp, Robson L. F. Cordeiro, Tamires T. Souza, Fan Guo, Christos Faloutsos, Agma J. M. Traina, Luciana A. S. Romani, James H. Horne, Caetano Traina, Gunhee Kim
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Given a large image set, in which very few images have labels, how to guess labels for the remaining majority? How to spot images that need brand new labels different from the predefined ones? How to summarize these data to route the user's attention
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fbeb007e2c39338ad0f8da05b7d915a
Publikováno v:
Remote Sensing Reviews. 9:135-159
This paper documents a process for classifying sea ice through a combination of algorithmic methods and heuristic methods applied through expert systems. By following an initial algorithmic classification with a heuristic analysis (based upon human e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3f60ce6cb47c56361fb46e82b3a04c4
https://doi.org/10.1080/02757259409532219
https://doi.org/10.1080/02757259409532219
Autor:
Donna Haverkamp, Gunhee Kim, Ellen K. Hughes, Robson L. F. Cordeiro, Caetano Traina, Christos Faloutsos, Fan Guo, Agma J. M. Traina, James H. Horne
Publikováno v:
ICDM
Given a large collection of images, very few of which have labels, how can we guess the labels of the remaining majority, and how can we spot those images that need brand new labels, different from the existing ones? Current automatic labeling techni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::191a72f6717dda71a39e483117e7ab61
https://doi.org/10.1109/icdm.2010.150
https://doi.org/10.1109/icdm.2010.150
Publikováno v:
SPIE Proceedings.
Advances in understanding the biology of vision show that humans use not only bottom-up, feature-based information in visual analysis, but also top-down contextual information. To reflect this method of processing, we developed a technology called CA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a7cbb4f3b8352cfa06cdba943014e2a
https://doi.org/10.1117/12.820190
https://doi.org/10.1117/12.820190
Autor:
Donna Haverkamp, David Cannon, Paul F. Tighe, John M. Irvine, Larry Simon, Charles Fenimore, Steven Isreal, James Miller, Michelle Brennan, Ivelisse Aviles, John W. Roberts, Michael Gross
Publikováno v:
Human Vision and Electronic Imaging
The development of a motion imagery (MI) quality scale, akin to the National Image Interpretibility Rating Scale (NIIRS) for still imagery, would have great value to designers and users of surveillance and other MI systems. A multiphase study has ado
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8ee9621d3a34c86635ec9367c9a28d4
https://doi.org/10.1117/12.651124
https://doi.org/10.1117/12.651124
Autor:
Steven A. Israel, Donna Haverkamp, Gary O'Brien, John M. Irvine, David Cannon, John W. Roberts, Charles Fenimore, Ana Ivelisse Aviles
Publikováno v:
Optical Engineering. 46:117401
The motion imagery community would benefit from standard measures for assessing image interpretability. The National Imagery Interpretability Rating Scale (NIIRS) has served as a community standard for still imagery, but no comparable scale exists fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d2e83113d0c8bd6e1ee9aed1b8e75b4
https://doi.org/10.1117/1.2801504
https://doi.org/10.1117/1.2801504
Autor:
Donna Haverkamp
Publikováno v:
Optical Engineering. 41:2107
We discuss a fully automatic technique for extracting roads in urban environments. The method has its bases in a vegetation mask derived from multispectral IKONOS data and in texture derived from pan- chromatic IKONOS data. These two techniques toget
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94910a8f4ea6a031e09e2fb9caec5b05
https://doi.org/10.1117/1.1496785
https://doi.org/10.1117/1.1496785
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