1897 search results - page 19 / 380 » Sparse Additive Machine |
104
Voted
CORR
2010
Springer
15 years 17 days ago
2010
Springer
ABSTRACT. In this paper modified variants of the sparse Fourier transform algorithms from [14] are presented which improve on the approximation error bounds of the original algorit...
123
click to vote
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Eigenvalue problems are rampant in machine learning and statistics and appear in the context of classification, dimensionality reduction, etc. In this paper, we consider a cardina...
118
Voted
NIPS
2007
15 years 1 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
112
Voted
JMLR
2008
15 years 13 days ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
117
click to vote
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...