79 search results - page 13 / 16 » Convex multi-task feature learning |
ICCV
2007
IEEE
15 years 25 days ago
2007
IEEE
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...
ECML
2007
Springer
14 years 5 months ago
2007
Springer
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
JMLR
2010
13 years 5 months ago
2010
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
Kernel nonnegative matrix factorization (KNMF) is a recent kernel extension of NMF, where matrix factorization is carried out in a reproducing kernel Hilbert space (RKHS) with a f...