Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Richard C. Dubes"'
Publikováno v:
Pattern Recognition Letters. 15:419-431
This paper evaluates three types of fractal-based features according to their ability to segment mosaics of natural textures. Six mosaics constructed from 18 natural textures are segmented by various sets of features including lacunarities and signat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60c8b2541b49d1f1d9aaa292c7d7c276
https://doi.org/10.1016/0167-8655(94)90091-4
https://doi.org/10.1016/0167-8655(94)90091-4
Publikováno v:
Pattern Recognition. 27:339-349
Fractal dimension is a popular parameter for explaining certain phenomena and for describing natural textures. The problem of estimating the fractal dimension of a profile or an image is more difficult and devious than theory suggests. This paper stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5f4ee5fccdb80d09a4d604f613e7472
https://doi.org/10.1016/0031-3203(94)90112-0
https://doi.org/10.1016/0031-3203(94)90112-0
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 1(1)
The intrinsic dimensionality of a set of patterns is important in determining an appropriate number of features for representing the data and whether a reasonable two- or three-dimensional representation of the data exists. We propose an intuitively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e15ee9761e7ca9ac833d6bdefc15017
https://pubmed.ncbi.nlm.nih.gov/21868828
https://pubmed.ncbi.nlm.nih.gov/21868828
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 1(4)
A single modification to a mode-seeking clustering algorithm proposed by Koontz, Narendra, and Fukunaga is shown to generate a novel clustering and to provide an indication of cluster stability. The modified method should provide better clusterings f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d14b74d132c5f7c34973c4a5aeefb7d2
https://pubmed.ncbi.nlm.nih.gov/21868874
https://pubmed.ncbi.nlm.nih.gov/21868874
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 9(5)
The design of a pattern recognition system requires careful attention to error estimation. The error rate is the most important descriptor of a classifier's performance. The commonly used estimates of error rate are based on the holdout method, the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c54249f3276ee645ad3b84ae9c07b38e
https://pubmed.ncbi.nlm.nih.gov/21869421
https://pubmed.ncbi.nlm.nih.gov/21869421
Autor:
Richard C. Dubes, Xiaobo Li
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 7(6)
This paper formulates the problem encountered in the first stage of two-stage, binary template matching as a set of hypotheses to be tested, including a hypothesis of ``no object.'' Two new statistics R and G are proposed, based on a likelihood ratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::133d310b8f18e7c24417c4dc6db3dbe5
https://pubmed.ncbi.nlm.nih.gov/21869308
https://pubmed.ncbi.nlm.nih.gov/21869308
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 3(6)
A number of linear and nonlinear mapping algorithms for the projection of patterns from a high-dimensional space to two dimensions are available. These two-dimensional representations allow quick visual observation of a data set. A combination of two
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49bd1a1a34beacd354680dd2083a5d95
https://pubmed.ncbi.nlm.nih.gov/21868994
https://pubmed.ncbi.nlm.nih.gov/21868994
Autor:
Richard C. Dubes, Anil K. Jain
Publikováno v:
Journal of Applied Statistics. 20:121-154
Image models are useful in quantitatively specifying natural constraints and general assumptions about the physical world and the imaging process. This review paper explains how Gibbs and Markov random field models provide a unifying theme for many c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3a221342403ef35e1ad0f7334f4a6e3
https://doi.org/10.1080/02664769300000062
https://doi.org/10.1080/02664769300000062
Autor:
Richard C. Dubes, B. Fingleton, A. W. van Blokland-Vogelesang, K. C. Klauer, Fionn Murtagh, Michael P. Windham
Publikováno v:
Journal of Classification. 9:291-306
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bf4c2d87e983fcd7e626b7decce56a6
https://doi.org/10.1007/bf02621411
https://doi.org/10.1007/bf02621411
Autor:
Richard C. Dubes, Philippe P. Ohanian
Publikováno v:
Pattern Recognition. 25:819-833
Textural features for pattern recognition are compared. The problem addressed is to determine which features optimize classification rate. Such features may be used in image segmentation, compression, inspection, and other problems in computer vision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f8e9e29a7f84c50b63e83fdf966f4d0
https://doi.org/10.1016/0031-3203(92)90036-i
https://doi.org/10.1016/0031-3203(92)90036-i