Výsledky vyhledávání - "Kelvin T. Leung"

Semi-Streaming Quantization for Remote Sensing Data

Autor: Annmarie Eldering, Silvia Nittel, Amy Braverman, Kelvin T. Leung, Eric Fetzer

Publikováno v: Journal of Computational and Graphical Statistics. 12:759-780

We describe a strategy for reducing the size and complexity of very large, remote sensing datasets acquired from NASA's Earth Observing System. We apply the quantization paradigm from, and algorithms developed in, signal processing to the problem of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f2e08c94059d1102e0b287e887415620
https://doi.org/10.1198/1061860032535

Zobrazit plný text záznamu

Neuroimaging Study Designs, Computational Analyses and Data Provenance Using the LONI Pipeline

Autor: Kamen Lozev, Roger P. Woods, Shruthi Chakrapani, Petros Petrosyan, D. Stott Parker, Ivo D. Dinov, Kelvin T. Leung, Rico Magsipoc, Alen Zamanyan, John D. Van Horn, Jonathan Pierce, Arthur W. Toga, Zhizhong Liu, Boris A. Gutman, Paul Eggert

Publikováno v: PLoS ONE
PloS one, vol 5, iss 9
PLoS ONE, Vol 5, Iss 9 (2010)

Modern computational neuroscience employs diverse software tools and multidisciplinary expertise to analyze heterogeneous brain data. The classical problems of gathering meaningful data, fitting specific models, and discovering appropriate analysis a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cce3e1cd034e4a3eb60f78b8a2d0760a
http://europepmc.org/articles/PMC2946935

Zobrazit plný text záznamu

IRMA: An Image Registration Meta-algorithm

Autor: Arthur W. Toga, D. Stott Parker, Alexandre Cunha, Cornelius Hojatkashani, Kelvin T. Leung, Ivo D. Dinov

Publikováno v: Lecture Notes in Computer Science ISBN: 9783540694762
SSDBM

IRMA is a meta-algorithmfor image registration (image alignment), evaluating results under multiple metrics using the LONI Pipeline workflow infrastructure, on the LONI/CCB grid computing facility. IRMA manages these results in a model base implement

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::891dc7721e24898989719ca5251d1b7d
https://doi.org/10.1007/978-3-540-69497-7_46

Zobrazit plný text záznamu

Scaling clustering algorithms for massive data sets using data streams

Autor: A. Braverman, Kelvin T. Leung, Silvia Nittel

Publikováno v: ICDE

Computing clustering techniques on massive data sets is still not feasible nor efficient today. For instance, raw satellite imagery data can be replaced with compressed counterparts for many scientific applications. However, to facilitate scientific

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cb98626a75d30a7026a80908a354f3b8
https://doi.org/10.1109/icde.2004.1320061

Zobrazit plný text záznamu

Empirical comparisons of various voting methods in bagging

Autor: D. Stott Parker, Kelvin T. Leung

Publikováno v: KDD

Finding effective methods for developing an ensemble of models has been an active research area of large-scale data mining in recent years. Models learned from data are often subject to some degree of uncertainty, for a variety of resoans. In classif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4bd303b71d30f8149b2a448d6f377d7b
https://doi.org/10.1145/956750.956825

Zobrazit plný text záznamu

Intelligent data layout mechanism for high-performance image retrieval

Autor: Daniel J. Valentino, Lawrence W. Bassett, Carolyn Kimme-Smith, Limin Yang, Kelvin T. Leung, Wenchao Tao

Publikováno v: SPIE Proceedings.

Trends in medical imaging indicate that the storage requirements for digital medical datasets require a more efficient, scalable storage architecture for large-scale RIS/PACS to support high-speed retrieval for multiple concurrent clients. As storage

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c0d0a54f94d3bce9ab245b0569e9fd22
https://doi.org/10.1117/12.312505

Zobrazit plný text záznamu

Image navigation for PACS workstations

Autor: John T. Chao, Barbara M. Kadell-Wootton, Vikas Bhushan, John R. Bentsen, Bruce Kuo Ting Ho, Ramesh Panwar, Hooshang Kangarloo, Zoran L. Barbaric, Leanne L. Seeger, Woodrew Chao, Kelvin T. Leung

Publikováno v: SPIE Proceedings.

We present a novel image navigation methodology for PACS viewing stations to handle very high volume studiesefficiently. This methodology is based on the "customizable folder" concept in which a scaleable electronic worklist is formulated according t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c77f210e318f7bbd3d0cee955780c275
https://doi.org/10.1117/12.208809

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání