165 search results - page 8 / 33 » Algorithms for Sparse Linear Classifiers in the Massive Data... |
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
This paper studies the problem of simultaneously aligning a batch of linearly correlated images despite gross corruption (such as occlusion). Our method seeks an optimal set of im...
BIBM
2010
IEEE
13 years 4 months ago
2010
IEEE
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
GECCO
2003
Springer
14 years 16 days ago
2003
Springer
When using a Genetic Algorithm (GA) to optimize the feature space of pattern classification problems, the performance improvement is not only determined by the data set used, but a...
GFKL
2005
Springer
14 years 26 days ago
2005
Springer
In classification, with an increasing number of variables, the required number of observations grows drastically. In this paper we present an approach to put into effect the maxi...
AAAI
2008
13 years 9 months ago
2008
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...