3873 search results - page 150 / 775 » Neighbourhood Components Analysis |
158
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WSCG
2004
15 years 6 months ago
2004
Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis ar...
167
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JMLR
2010
14 years 11 months ago
2010
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
154
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JMLR
2012
13 years 7 months ago
2012
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
160
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ETFA
2008
IEEE
15 years 11 months ago
2008
IEEE
In this paper, we present the development of a plug-in framework for integration of real-time analysis methods in the Rubus Integrated Component Environment (RubusICE). We also pr...
182
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SIAMIS
2010
14 years 11 months ago
2010
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...