41 search results - page 7 / 9 » Recording and using provenance in a protein compressibility ... |
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
SBACPAD
2003
IEEE
13 years 11 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
PAMI
2012
11 years 8 months ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
BMCBI
2006
13 years 5 months ago
2006
Background: DNA microarrays, which have been increasingly used to monitor mRNA transcripts at a global level, can provide detailed insight into cellular processes involved in resp...
DSN
2009
IEEE
14 years 15 days ago
2009
IEEE
Log preprocessing, a process applied on the raw log before applying a predictive method, is of paramount importance to failure prediction and diagnosis. While existing filtering ...