202 search results - page 21 / 41 » Privacy-preservation for gradient descent methods |
CEC
2010
IEEE
15 years 20 days ago
2010
IEEE
This paper proposes a method for reconstructing non-rigid 3D shapes from noisy 2D shapes. The proposed method estimates the 3D shape bases and projection matrices, exploiting low-r...
ICML
2003
IEEE
16 years 11 days ago
2003
IEEE
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
100
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ICIAP
1999
ACM
15 years 3 months ago
1999
ACM
Iterative methods showed until now encouraging results to resolve shape from shading. This kind of methods generally work on synthetic images, and occasionally on real images, eve...
ICONIP
2007
15 years 1 months ago
2007
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
154
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HIS
2001
15 years 29 days ago
2001
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...