Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Samir R. Chettri"'
Autor:
Robert F. Cromp, Samir R. Chettri
Publikováno v:
Telematics and Informatics. 10:187-198
In this paper we discuss a neural network architecture (the Probabilistic Neural Net or the PNN) that, to the best of our knowledge, has not previously been applied to remotely sensed data. The PNN is a supervised non-parametric classification algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8927e999d962982bafcabaf775c39067
https://doi.org/10.1016/0736-5853(93)90024-x
https://doi.org/10.1016/0736-5853(93)90024-x
Publikováno v:
Telematics and Informatics. 9:145-156
Classification accuracies of a backpropagation neural network are discussed and compared with a maximum likelihood classifier (MLC) with multivariate normal class models. We have found that, because of its nonparametric nature, the neural network out
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be18a186b14740d19b482197f302a5c4
https://doi.org/10.1016/s0736-5853(05)80032-2
https://doi.org/10.1016/s0736-5853(05)80032-2
Publikováno v:
AIP Conference Proceedings.
In Jefferys and Berger apply Bayesian model selection to the problem of choosing between rival theories, in particular between Einstein’s theory of general relativity (GR) and Newtonian gravity (NG). [1] presents a debate between Harold Jeffreys an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04c7cc5dcf46f5add4aaea5ca7a021d6
https://doi.org/10.1063/1.2149822
https://doi.org/10.1063/1.2149822
Publikováno v:
SPIE Proceedings.
In classification, the goal is to assign an input vector to a discrete number of output classes. Classifier design has a long history and they have been put to a large number of uses. In this paper we continue the task of categorizing classifiers by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c0b886a428d45b1ea982687a4cf1d7b
https://doi.org/10.1117/12.300049
https://doi.org/10.1117/12.300049
Autor:
Nathan S. Netanyahu, Samir R. Chettri
Publikováno v:
25th AIPR Workshop: Emerging Applications of Computer Vision.
This paper addresses the importance of a maximum entropy formulation for the extraction of content from a single picture element in a remotely sensed image. Most conventional classifiers assume a winner take all procedure in assigning classes to a pi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::063254e0d9a191bc88d04ffc77d5c1d1
https://doi.org/10.1117/12.267839
https://doi.org/10.1117/12.267839
Publikováno v:
SPIE Proceedings.
In this research we compare general harmonic wavelet transforms (GHWT), constant Q transforms (CQT) and the Cone kernel time-frequency distribution (CKTFD) for the analysis of musical signals. The first two consist of a series of band pass filters th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93d4166bd0a17e6cdbc2dac32f098b64
https://doi.org/10.1117/12.236016
https://doi.org/10.1117/12.236016
Publikováno v:
SPIE Proceedings.
The Direct Linear Transform (DLT) is widely used in the calibration and reconstruction problem in computer vision. The calibration/reconstruction problem can be written as [Y] equals [X][B] + [e]. Where [Y] is a known vector, [X] is a known matrix, [
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36ac8189017d59905f32189a23167480
https://doi.org/10.1117/12.141933
https://doi.org/10.1117/12.141933
Publikováno v:
SPIE Proceedings.
In computer vision and graphics, the square or rectangular tessellation is most commonly used. The hexagonal lattice has not been studied as frequently. In this paper we project squares and circles on each of these grids, digitize these figures and o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fdb5e941f7d45cfda13d53651938837
https://doi.org/10.1117/12.969848
https://doi.org/10.1117/12.969848
Conference
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Conference
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