Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Dominic Mazzoni"'
Publikováno v:
Data Mining and Knowledge Discovery. 20:53-69
Support vector machines (SVMs) have good accuracy and generalization properties, but they tend to be slow to classify new examples. In contrast to previous work that aims to reduce the time required to fully classify all examples, we present a method
Publikováno v:
Remote Sensing of Environment. 107:149-158
The Multi-angle Imaging SpectroRadiometer (MISR) data products now include a scene classification for each 1.1-km pixel that was developed using Support Vector Machines (SVMs), a cutting-edge machine learning technique for supervised classification.
Publikováno v:
Remote Sensing of Environment. 107:159-171
The Radiometric Camera-by-Camera Cloud Mask (RCCM) is archived at the NASA Langley Distributed Active Archive Center as one of the standard products from the Multi-angle Imaging SpectroRadiometer (MISR) mission. The RCCM algorithm applied over land s
Publikováno v:
Remote Sensing of Environment. 107:138-148
Satellites provide unique perspectives on aerosol global and regional spatial and temporal distributions, and offer compelling evidence that visibility and air quality are affected by particulate matter transported over long distances. The heights at
Autor:
Roger B. Dannenberg, Dominic Mazzoni
Publikováno v:
Computer Music Journal. 26:62-76
For some time, ordinary personal computers have been powerful enough to allow people to edit, filter, and mix digital audio without any special added hardware. The earliest editors, such as those described by Freed (1987), Kirby and Shute (1988), and
Publikováno v:
Remote Sensing of Fire: Science and Application.
The Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard Terra acquires imagery at 275-m resolution at nine angles ranging from 0° to 70° off-nadir. This multi-angle capability facilitates the stereoscopic retrieval of smoke heights assoc
Publikováno v:
SSDBM
SciFlo is a system for Scientific Knowledge Creation on the Grid using a Semantically-Enabled Dataflow Execution Environment. SciFlo leverages Simple Object Access Protocol (SOAP) Web Services and the Grid Computing standards (WS-* & Globus Alliance
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540453758
ECML
ECML
Active learning algorithms attempt to accelerate the learning process by requesting labels for the most informative items first. In real-world problems, however, there may exist unlabeled items that are irrelevant to the user's classification goals.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::601869a249594eb726d96940cb923d94
https://doi.org/10.1007/11871842_69
https://doi.org/10.1007/11871842_69
Autor:
Dominic Mazzoni, Yuekui Yang, Eric Snodgrass, Iliana Genkova, Bill Chapman, Guangyu Zhao, Larry Di Girolamo, Michael P. Wilson
Publikováno v:
SPIE Proceedings.
The Multi-angle Imaging SpectroRadiometer (MISR) currently provides three independently derived cloud mask products at 1.1 km spatial resolution. The Radiometric Camera-by-camera Cloud Mask (RCCM) is terrain-referenced and calculated for each of the
Autor:
Dominic Mazzoni, Tara Estlin, A. Castano, Rebecca Castano, L. Scharenbroich, Forest Fisher, Daniel Gaines, L. Song, M. Judd, Robert C. Anderson
Publikováno v:
2004 IEEE Aerospace Conference Proceedings (IEEE Cat. No.04TH8720).
The Onboard Autonomous Science Investigation System (OASIS) is a technology for increasing science return during rover traverses by prioritizing data onboard, and identifying and reacting to unanticipated science opportunities. Rovers of the future w