4366 search results - page 246 / 874 » Learning and Smoothed Analysis |
134
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...
149
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
127
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ICST
2009
IEEE
15 years 11 months ago
2009
IEEE
Automated static analysis can identify potential source code anomalies early in the software process that could lead to field failures. However, only a small portion of static ana...
130
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ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
The importance of accurate early diagnostics of dyslexia that severely affects the learning abilities of children cannot be overstated. Neuropathological studies have revealed an ...
143
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ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...