28 search results - page 1 / 6 » An Efficient and Stable Algorithm for Learning Rotations |
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
This paper analyses the computational complexity and stability of an online algorithm recently proposed for learning rotations. The proposed algorithm involves multiplicative upda...
PKDD
2010
Springer
13 years 9 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
SAC
2005
ACM
14 years 4 months ago
2005
ACM
When a partitional structure is derived from a data set using a data mining algorithm, it is not unusual to have a different set of outcomes when it runs with a different order of...
ICIP
2001
IEEE
15 years 22 days ago
2001
IEEE
In this paper, we introduce a completely new approach to fitting rectangles and squares to given closed regions using our published ideas in [6], [7], [8]. In these papers, we hav...
ICML
2006
IEEE
14 years 12 months ago
2006
IEEE
Principal component analysis (PCA) minimizes the sum of squared errors (L2-norm) and is sensitive to the presence of outliers. We propose a rotational invariant L1-norm PCA (R1-PC...