7536 search results - page 70 / 1508 » Localized Components Analysis |
224
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ICML
2004
IEEE
16 years 5 months 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...
169
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STEP
2003
IEEE
15 years 10 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...
155
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CORR
2007
Springer
15 years 4 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...
155
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NN
2008
Springer
15 years 4 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...
164
Voted
ICASSP
2011
IEEE
14 years 8 months ago
2011
IEEE
In this paper, we propose a new vector quantization method to create video thumbnail. In particular, we employ video time density function (VTDF) to explore the temporal character...