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» Parallel matrix algorithms and applications
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158
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RECSYS
2010
ACM
15 years 4 months ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street
CORR
2011
Springer
161views Education» more  CORR 2011»
14 years 10 months ago
On Parsimonious Explanations for 2-D Tree- and Linearly-Ordered Data
This paper studies the “explanation problem” for tree- and linearly-ordered array data, a problem motivated by database applications and recently solved for the one-dimensiona...
Howard J. Karloff, Flip Korn, Konstantin Makaryche...
173
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JMLR
2012
13 years 6 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
IPPS
2007
IEEE
15 years 10 months ago
Load Miss Prediction - Exploiting Power Performance Trade-offs
— Modern CPUs operate at GHz frequencies, but the latencies of memory accesses are still relatively large, in the order of hundreds of cycles. Deeper cache hierarchies with large...
Konrad Malkowski, Greg M. Link, Padma Raghavan, Ma...
138
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CW
2002
IEEE
15 years 9 months ago
Efficient Data Compression Methods for Multi-Dimensional Sparse Array Operations
For sparse array operations, in general, the sparse arrays are compressed by some data compression schemes in order to obtain better performance. The Compressed Row/Column Storage...
Chun-Yuan Lin, Yeh-Ching Chung, Jen-Shiuh Liu