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182
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NIPS
2004
15 years 8 months ago
2004
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
167
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DAC
2002
ACM
16 years 7 months ago
2002
ACM
In the last decade, instruction-set simulators have become an essential development tool for the design of new programmable architectures. Consequently, the simulator performance ...
178
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COLING
2008
15 years 8 months ago
2008
In this paper, an extension of a dimensionality reduction algorithm called NONNEGATIVE MATRIX FACTORIZATION is presented that combines both `bag of words' data and syntactic ...
137
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VIS
2003
IEEE
16 years 7 months ago
2003
IEEE
We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...
152
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GECCO
2007
Springer
16 years 22 days ago
2007
Springer
Radio network design (RND) is a fundamental problem in cellular networks for telecommunications. In these networks, the terrain must be covered by a set of base stations (or anten...