3873 search results - page 39 / 775 » Neighbourhood Components Analysis |
ICPR
2000
IEEE
16 years 27 days ago
2000
IEEE
This paper describes a new method to recover the sign of the local Gaussian curvature at each point on the visible surface of a 3-D object. Multiple (p > 3) shaded images are a...
172
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ICML
2004
IEEE
16 years 19 days ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
122
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STEP
2003
IEEE
15 years 5 months ago
2003
IEEE
Software patterns are a new design paradigm used to solve problems that arise when developing software within a particular context. Patterns capture the static and dynamic structu...
104
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CORR
2007
Springer
14 years 11 months ago
2007
Springer
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
101
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NN
2008
Springer
14 years 11 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...