3006 search results - page 72 / 602 » Dimensionality reduction and generalization |
SDM
2004
SIAM
15 years 2 months ago
2004
SIAM
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
79
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ICCD
2008
IEEE
15 years 9 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...
79
Voted
ICPR
2006
IEEE
16 years 1 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...
123
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BMCBI
2010
15 years 26 days ago
2010
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
90
Voted
ICML
2008
IEEE
16 years 1 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...