| B. Jeon and D. Landgrebe. Partially supervised classification using weighted unsupervised clustering. IEEE Trans. on Geoscience and Remote Sensing, 37(2):1073-- 1079, 1999. |
....take the first point of view and it is this binary classification task that GENIE was designed to handle. However, for MAX and other conventional classifiers, the background of everything else is not well modeled as a single unimodal class. To address this difficulty, it has been suggested [29] to artificially divide the background into multiple classes, and then employ multi class classification techniques. This combined use of labeled and unlabeled samples can often lead to more powerful supervised classification [30] 33] In order to address these same issues, we conducted a ....
B. Jeon and D. A. Landgrebe, "Partially supervised classification using weighted unsupervised clustering," IEEE Trans. Geosci. Remote Sensing, vol. 37, pp. 1073--1079, Mar. 1999.
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B. Jeon and D. Landgrebe. Partially supervised classification using weighted unsupervised clustering. IEEE Trans. on Geoscience and Remote Sensing, 37(2):1073-- 1079, 1999.
No context found.
Byeungwoo Jeon and David Landgrebe. Partially supervised classification using weighted unsupervised clustering. IEEE Trans. Geoscience and Remote Sensing, 37(2):1073--1079, March 1999. 5
No context found.
B. Jeon and D. Landgrebe. Partially supervised classification using weighted unsupervised clustering. IEEE Trans. on Geoscience and Remote Sensing, 37(2):1073--1079, 1999.
No context found.
B. Jeon and D. Landgrebe. Partially supervised classification using weighted unsupervised clustering. IEEE Trans. on Geoscience and Remote Sensing, 37(2):1073--1079, 1999.
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