104 search results - page 6 / 21 » An Overview Of Inverse Problem Regularization Using Sparsity |
ICDM
2010
IEEE
13 years 4 months ago
2010
IEEE
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
Sparsity in the eigenspace of signal covariance matrices is exploited in this paper for compression and denoising. Dimensionality reduction (DR) and quantization modules present i...
PRL
2010
13 years 5 months ago
2010
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
NOLISP
2005
Springer
14 years 7 days ago
2005
Springer
Abstract. Glottal inverse filtering is a technique used to derive the glottal waveform during voiced speech. Closed phase inverse filtering (CPIF) is a common approach for achiev...
PKDD
2010
Springer
13 years 4 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...