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» Adaptive K-Means Clustering
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AH
2008
Springer
15 years 4 months ago
Collection Browsing through Automatic Hierarchical Tagging
In order to navigate huge document collections efficiently, tagged hierarchical structures can be used. For users, it is important to correctly interpret tag combinations. In this ...
Korinna Bade, Marcel Hermkes
HPDC
2007
IEEE
15 years 4 months ago
A fast topology inference: a building block for network-aware parallel processing
Adapting to the network is the key to achieving high performance for communication-intensive applications, including scientific computing, data intensive computing, and multicast...
Tatsuya Shirai, Hideo Saito, Kenjiro Taura
FGCS
2006
121views more  FGCS 2006»
14 years 9 months ago
Real-time multi-scale brain data acquisition, assembly, and analysis using an end-to-end OptIPuter
At iGrid 2005 we demonstrated the transparent operation of a biology experiment on a test-bed of globally distributed visualization, storage, computational, and network resources....
Rajvikram Singh, Nicholas Schwarz, Nut Taesombut, ...
ICIP
2002
IEEE
15 years 11 months ago
Fuzzy color signatures
With the large and increasing amount of visual information available in digital libraries and the Web, efficient and robust systems for image retrieval are urgently needed. In thi...
Andrés Dorado, Ebroul Izquierdo
WSOM
2009
Springer
15 years 4 months ago
Career-Path Analysis Using Optimal Matching and Self-Organizing Maps
Abstract. This paper is devoted to the analysis of career paths and employability. The state-of-the-art on this topic is rather poor in methodologies. Some authors propose distance...
Sébastien Massoni, Madalina Olteanu, Patric...