502 search results - page 93 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
NPL
2006
13 years 8 months ago
2006
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...
PR
2007
13 years 8 months ago
2007
Isomap is one of widely-used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional s...
IEEEPACT
2002
IEEE
14 years 1 months ago
2002
IEEE
Having a representative workload of the target domain of a microprocessor is extremely important throughout its design. The composition of a workload involves two issues: (i) whic...
CLUSTER
2007
IEEE
14 years 3 months ago
2007
IEEE
— A critical problem facing by managing large-scale clusters is to identify the location of problems in a system in case of unusual events. As the scale of high performance compu...
BMCBI
2010
13 years 8 months ago
2010
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...