885 search results - page 21 / 177 » Random Matrices in Data Analysis |
99
Voted
PR
2008
15 years 1 months ago
2008
For two-class discrimination, Ref. [1] claimed that, when covariance matrices of the two classes were unequal, a (class) unbalanced dataset had a negative effect on the performanc...
131
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FPGA
2005
ACM
15 years 7 months ago
2005
ACM
Floating-point Sparse Matrix-Vector Multiplication (SpMXV) is a key computational kernel in scientific and engineering applications. The poor data locality of sparse matrices sig...
139
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ICML
2010
IEEE
14 years 12 months ago
2010
IEEE
Matrix factorization into the product of lowrank matrices induces non-identifiability, i.e., the mapping between the target matrix and factorized matrices is not one-to-one. In th...
222
Voted
ICDE
2007
IEEE
16 years 3 months ago
2007
IEEE
A key method for privacy preserving data mining is that of randomization. Unlike k-anonymity, this technique does not include public information in the underlying assumptions. In ...
129
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GRC
2010
IEEE
15 years 3 months ago
2010
IEEE
We present a problem of factor analysis of three-way binary data, i.e. data described by a 3-dimensional binary matrix I, describing a relationship between objects, attributes, an...