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» Maximal Vector Computation in Large Data Sets
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PR
2011
14 years 9 months ago
A novel multi-view learning developed from single-view patterns
The existing Multi-View Learning (MVL) learns how to process patterns with multiple information sources. In generalization this MVL is proven to have a significant advantage over...
Zhe Wang, Songcan Chen, Daqi Gao
3DPVT
2002
IEEE
172views Visualization» more  3DPVT 2002»
15 years 11 months ago
3D objects visualization for remote interactive medical applications
3D medical images produced in health centers represent tremendous amounts of data spread over different places. Automatic processing of these data often allow quantitative and rep...
Johan Montagnat, Eduardo Davila, Isabelle E. Magni...
TC
2008
15 years 6 months ago
Self-Adaptive Configuration of Visualization Pipeline Over Wide-Area Networks
Next-generation scientific applications require the capability to visualize large archival data sets or on-going computer simulations of physical and other phenomena over wide-area...
Qishi Wu, Jinzhu Gao, Mengxia Zhu, Nageswara S. V....
CORR
2010
Springer
167views Education» more  CORR 2010»
15 years 5 months ago
Collaborative Astronomical Image Mosaics
This chapter describes how astronomical imaging survey data have become a vital part of modern astronomy, how these data are archived and then served to the astronomical community...
Daniel S. Katz, G. Bruce Berriman, Robert G. Mann
PAMI
2006
134views more  PAMI 2006»
15 years 6 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee