1083 search results - page 104 / 217 » Efficient Discovery of Confounders in Large Data Sets |
152
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SSDBM
1998
IEEE
15 years 10 months ago
1998
IEEE
When scientific data sets can be interpreted visually they are typically managed as pictures and consequently stored as large collections of bitmaps. Valuable information containe...
168
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ISBI
2008
IEEE
16 years 7 months ago
2008
IEEE
Several functional and biomedical imaging techniques rely on determining hemodynamic variables and their changes in large vascular networks. To do so at micro-vascular resolution ...
158
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
191
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EUROPAR
2004
Springer
15 years 10 months ago
2004
Springer
Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a dendrogram showing all N levels of agglomerations where N is the number of objects in the d...
164
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EMNLP
2010
15 years 4 months ago
2010
We present three novel methods of compactly storing very large n-gram language models. These methods use substantially less space than all known approaches and allow n-gram probab...