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» Approximate Kernel Clustering
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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
15 years 10 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
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
DATE
2003
IEEE
91views Hardware» more  DATE 2003»
15 years 3 months ago
Multithreaded Synchronous Data Flow Simulation
This paper introduces an efficient multithreaded synchronous dataflow (SDF) scheduler that can significantly reduce the running time of multi-rate SDF simulations on multiprocesso...
Johnson S. Kin, José Luis Pino
HPCN
1999
Springer
15 years 2 months ago
A Parallel Implementation of the Block Preconditioned GCR Method
Abstract. The parallel implementation of GCR is addressed, with particular focus on communication costs associated with orthogonalization processes. This consideration brings up qu...
C. Vuik, Jason Frank
ESANN
1997
14 years 11 months ago
Kohonen maps versus vector quantization for data analysis
Besides their topological properties, Kohonen maps are often used for vector quantization only. These auto-organised networks are often compared to other standard and/or adaptive v...
Eric de Bodt, Michel Verleysen, Marie Cottrell