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196
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ISCAS
2005
IEEE
16 years 3 days ago
2005
IEEE
—This paper presents a memory-conscious mapping methodology of computational intensive applications on coarse-grain reconfigurable arrays. By exploiting the inherent abundant amo...
222
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NECO
1998
15 years 6 months ago
1998
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example ...
214
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AI
2011
Springer
14 years 10 months ago
2011
Springer
Abstract. Subspace mapping methods aim at projecting high-dimensional data into a subspace where a specific objective function is optimized. Such dimension reduction allows the re...
178
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KDD
2009
ACM
16 years 7 months ago
2009
ACM
In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
259
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SIGMOD
2008
ACM
16 years 6 months ago
2008
ACM
A method for approximate subsequence matching is introduced, that significantly improves the efficiency of subsequence matching in large time series data sets under the dynamic ti...