1825 search results - page 75 / 365 » Local Dimensionality Reduction |
ICCD
2008
IEEE
15 years 6 months ago
2008
IEEE
High associativity is important for level-two cache designs [9]. Implementing CAM-based Highly Associative Caches (CAM-HAC), however, is both costly in hardware and exhibits poor s...
ICPR
2006
IEEE
15 years 11 months ago
2006
IEEE
Linear discriminant analysis (LDA) is a well-known scheme for feature extraction and dimensionality reduction of labeled data in a vector space. Recently, LDA has been extended to...
124
click to vote
BMCBI
2011
14 years 1 months ago
2011
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
We consider feature extraction (dimensionality reduction) for compositional data, where the data vectors are constrained to be positive and constant-sum. In real-world problems, t...
110
click to vote
HPDC
2010
IEEE
14 years 11 months ago
2010
IEEE
Visualization of large-scale high dimensional data tool is highly valuable for scientific discovery in many fields. We present PubChemBrowse, a customized visualization tool for c...