1313 search results - page 76 / 263 » Dimensionality Reduction for Classification |
131
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SDM
2009
SIAM
16 years 11 days ago
2009
SIAM
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
105
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SDM
2004
SIAM
15 years 4 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...
110
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ICCD
2008
IEEE
16 years 3 days 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
16 years 4 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
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RSCTC
2000
Springer
15 years 6 months ago
2000
Springer
The optimization of rough set based classification models with respect to parameterized balance between a model's complexity and confidence is discussed. For this purpose, the...