39 search results - page 7 / 8 » Trading Accuracy for Sparsity in Optimization Problems with ... |
TSMC
2010
13 years 1 days ago
2010
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
DAGSTUHL
2007
13 years 6 months ago
2007
We address the problem of finding sparse wavelet representations of high-dimensional vectors. We present a lower-bounding technique and use it to develop an algorithm for computi...
ICCV
2009
IEEE
13 years 3 months ago
2009
IEEE
Within the field of action recognition, features and descriptors are often engineered to be sparse and invariant to transformation. While sparsity makes the problem tractable, it ...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Common Spatial Pattern (CSP) is widely used in discriminating two classes of EEG in Brain Computer Interface applications. However, the performance of the CSP algorithm is affecte...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...