1789 search results - page 239 / 358 » Genetic Algorithms for Component Analysis |
139
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CORR
2007
Springer
15 years 3 months ago
2007
Springer
Many data analysis applications deal with large matrices and involve approximating the matrix using a small number of “components.” Typically, these components are linear combi...
147
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
125
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
This paper presents a Local Learning Projection (LLP) approach for linear dimensionality reduction. We first point out that the well known Principal Component Analysis (PCA) essen...
188
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IWDW
2009
Springer
15 years 10 months ago
2009
Springer
In this paper, we propose a blind watermarking algorithm for 3D meshes. The proposed algorithm embeds spectral domain constraints in segmented patches. After aligning the 3D object...
95
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ICA
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. We present a set of gradient based orthogonal and nonorthogonal matrix joint diagonalization algorithms. Our approach is to use the geometry of matrix Lie groups to devel...