Zobrazeno 1 - 10
of 28
pro vyhledávání: '"J. A. Gualtieri"'
Autor:
J. A. Gualtieri, Garnet Ord
We show that it is possible to construct the Feynman propagator for a free particle in one dimension, without quantization, from a single continuous space-time path.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1936a44db1e1a8e2c24ce02ced7ccdd0
https://doi.org/10.32920/21424560
https://doi.org/10.32920/21424560
Publikováno v:
Foundations of Physics Letters. 19:471-480
In the path-integral formulation of quantum mechanics, the phase factor eiS(x〈t〉) is associated with every path x〈t〉. Summing this factor over all paths yields Feynman's propagator as a sum-over-paths. In the original formulation, the complex
Publikováno v:
IGARSS
The next generation of Earth-observing spacecraft are likely to generate enormous volumes of data. A major challenge lies in the conversion of these mountains of data into information useful to researchers and other users. Hierarchical segmentation i
Autor:
J. Anthony Gualtieri
Publikováno v:
Kernel Methods for Remote Sensing Data Analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc7c2061d31d9c558e449ed1f5e12002
https://doi.org/10.1002/9780470748992.ch3
https://doi.org/10.1002/9780470748992.ch3
Publikováno v:
Biological Cybernetics. 63:201-208
Partitioning a set ofN patterns in ad-dimensional metric space intoK clusters -- in a way that those in a given cluster are more similar to each other than the rest -- is a problem of interest in many fields, such as, image analysis, taxonomy, astrop
Autor:
J.P. Hunt, J. A. Gualtieri, S. Chettri, M. Bechdol, A. Vermeullen, J. Garegnani, J. W. Robinson
Publikováno v:
IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).
In a test of the utility of hyperspectral image data to precision farming, the authors have collected several inter-dependent data sets at an experimental farm on Maryland's Eastern Shore during the 1999 growing season, focusing on weed identificatio
Publikováno v:
SPIE Proceedings.
One of the most widely used approaches to analyze hyperspectral data is pixel unmixing, which relies on the identification of the purest spectra from the data cube. Once these elements, known as “endmembers”, are extracted, several methods can be
Autor:
J. A. Gualtieri, G. N. Ord
Publikováno v:
Physical review letters. 89(25)
We show that it is possible to construct the Feynman Propagator in one dimension, without quantization, from a single continuous space-time path.
Comment: 4 pages, 3 figures
Comment: 4 pages, 3 figures
Autor:
Robert F. Cromp, J. Anthony Gualtieri
Publikováno v:
SPIE Proceedings.
The Support Vector Machine provides a new way to design classification algorithms which learn from examples (supervised learning) and generalize when applied to new data. We demonstrate its success on a difficult classification problem from hyperspec