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161
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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
16 years 4 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
SC
2005
ACM
15 years 9 months ago
Bridging the Macro and Micro: A Computing Intensive Earthquake Study Using Discovery Net
We present the development and use of a novel distributed geohazard modeling environment for the analysis and interpretation of large scale earthquake data sets. Our work demonstr...
Yike Guo, Jian Guo Liu, Moustafa Ghanem, Kyran Mis...
CGI
1998
IEEE
15 years 8 months ago
Fast Approximate Quantitative Visibility for Complex Scenes
Ray tracing and Monte-Carlo based global illumination, as well as radiosity and other finite-element based global illumination methods, all require repeated evaluation of quantita...
Yiorgos Chrysanthou, Daniel Cohen-Or, Dani Lischin...
BMCBI
2005
107views more  BMCBI 2005»
15 years 3 months ago
An edit script for taxonomic classifications
Abstract. Taxonomy provides one of the most powerful ways to navigate sequence data bases but currently, users are forced to formulate queries according to a single taxonomic class...
Roderic D. M. Page, Gabriel Valiente
135
Voted
HIPC
2009
Springer
15 years 1 months ago
Detailed analysis of I/O traces for large scale applications
- In this paper, we present a tool to extract I/O traces from very large applications running at full scale during their production runs. We analyze these traces to gain informatio...
Nithin Nakka, Alok N. Choudhary, Wei-keng Liao, Le...
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