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121
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KDD
2007
ACM
16 years 2 days ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
117
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KDD
2006
ACM
16 years 2 days ago
2006
ACM
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 ...
HPCA
2005
IEEE
16 years 1 days ago
2005
IEEE
The use of large instruction windows coupled with aggressive out-oforder and prefetching capabilities has provided significant improvements in processor performance. In this paper...
101
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STOC
2003
ACM
15 years 12 months ago
2003
ACM
We present a new bicriteria approximation algorithm for the degree-bounded minimum-cost spanning tree problem: Given an undirected graph with nonnegative edge weights and degree b...
194
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SIGMOD
2008
ACM
15 years 11 months ago
2008
ACM
Approximate queries on a collection of strings are important in many applications such as record linkage, spell checking, and Web search, where inconsistencies and errors exist in...