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ESANN
2006
15 years 8 months ago
An algorithm for fast and reliable ESOM learning
The training of Emergent Self-organizing Maps (ESOM ) with large datasets can be a computationally demanding task. Batch learning may be used to speed up training. It is demonstrat...
Mario Nöcker, Fabian Mörchen, Alfred Ult...
DAC
2001
ACM
16 years 7 months ago
High-Quality Operation Binding for Clustered VLIW Datapaths
Clustering is an effective method to increase the available parallelism in VLIW datapaths without incurring severe penalties associated with large number of register file ports. E...
Viktor S. Lapinskii, Margarida F. Jacome, Gustavo ...
ICTIR
2009
Springer
16 years 1 months ago
Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links
Abstract. In this paper we present a new clustering algorithm which ex
M. Eduardo Ares, Javier Parapar, Alvaro Barreiro
FPL
2004
Springer
72views Hardware» more  FPL 2004»
15 years 12 months ago
Simultaneous Timing Driven Clustering and Placement for FPGAs
Traditional placement algorithms for FPGAs are normally carried out on a fixed clustering solution of a circuit. The impact of clustering on wirelength and delay of the placement s...
Gang Chen, Jason Cong
FOCS
2000
IEEE
15 years 11 months ago
On Clusterings - Good, Bad and Spectral
We motivate and develop a natural bicriteria measure for assessing the quality of a clustering that avoids the drawbacks of existing measures. A simple recursive heuristic is shown...
Ravi Kannan, Santosh Vempala, Adrian Vetta