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» Dimensionality reduction by unsupervised regression
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PRL
1998
55views more  PRL 1998»
13 years 5 months ago
Non-linear dimensionality reduction techniques for unsupervised feature extraction
Steve De Backer, Antoine Naud, Paul Scheunders
ICPR
2010
IEEE
13 years 10 months ago
On the Dimensionality Reduction for Sparse Representation Based Face Recognition
Face recognition (FR) is an active yet challenging topic in computer vision applications. As a powerful tool to represent high dimensional data, recently sparse representation bas...
Lei Zhang, Meng Yang, Zhizhao Feng, David Zhang
TIP
2010
182views more  TIP 2010»
13 years 15 days ago
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
ICCAD
2006
IEEE
152views Hardware» more  ICCAD 2006»
14 years 2 months ago
Performance-oriented statistical parameter reduction of parameterized systems via reduced rank regression
Process variations in modern VLSI technologies are growing in both magnitude and dimensionality. To assess performance variability, complex simulation and performance models param...
Zhuo Feng, Peng Li
JMLR
2010
110views more  JMLR 2010»
13 years 4 months ago
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization
Nonlinear dimensionality reduction methods are often used to visualize high-dimensional data, although the existing methods have been designed for other related tasks such as mani...
Jarkko Venna, Jaakko Peltonen, Kristian Nybo, Hele...