2826 search results - page 311 / 566 » Maximal Vector Computation in Large Data Sets |
177
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
186
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WWW
2010
ACM
16 years 1 months ago
2010
ACM
Researchers increasingly use electronic communication data to construct and study large social networks, effectively inferring unobserved ties (e.g. i is connected to j) from obs...
172
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HCI
2009
15 years 4 months ago
2009
The availability of video format sign language corpora limited. This leads to a desire for techniques which do not rely on large, fully-labelled datasets. This paper covers various...
188
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
191
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HPCA
1998
IEEE
15 years 11 months ago
1998
IEEE
The frequency of accesses to remote data is a key factor affecting the performance of all Distributed Shared Memory (DSM) systems. Remote data caching is one of the most effective...