785 search results - page 51 / 157 » Semi-Supervised Dimensionality Reduction |
137
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IVC
2007
15 years 3 months ago
2007
Many natural image sets are samples of a low-dimensional manifold in the space of all possible images. When the image data set is not a linear combination of a small number of bas...
160
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SADM
2010
14 years 10 months ago
2010
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
143
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SDM
2009
SIAM
16 years 1 months 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...
118
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SDM
2004
SIAM
15 years 5 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...
123
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ICCD
2008
IEEE
16 years 24 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...