107 search results - page 13 / 22 » Dimensionality reduction by unsupervised regression |
DAC
2007
ACM
16 years 9 days ago
2007
ACM
The number and magnitude of process variation sources are increasing as we scale further into the nano regime. Today's most successful response surface methods limit us to lo...
ICML
2007
IEEE
16 years 3 days ago
2007
IEEE
Linear Discriminant Analysis (LDA) is a well-known method for dimensionality reduction and classification. LDA in the binaryclass case has been shown to be equivalent to linear re...
82
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PRL
2006
14 years 11 months ago
2006
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
110
Voted
NIPS
2004
15 years 21 days ago
2004
This paper investigates the effect of Kernel Principal Component Analysis (KPCA) within the classification framework, essentially the regularization properties of this dimensional...
108
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ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is a...