693 search results - page 22 / 139 » Estimation in covariate-adjusted regression |
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
Sparse regression is the problem of selecting a parsimonious subset of all available regressors for an efficient prediction of a target variable. We consider a general setting in w...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Reduced rank regression (RRR) has found application in various fields of signal processing. In this paper we propose a novel extension of the RRR model which we call sparse varia...
79
Voted
INTERSPEECH
2010
14 years 4 months ago
2010
Automatic pronunciation assessment has several difficulties. Adequacy in controlling the vocal organs is often estimated from the spectral envelopes of input utterances but the en...
CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
CVPR
2012
IEEE
13 years 1 days ago
2012
IEEE
This paper presents a cross-based framework of performing local multipoint filtering efficiently. We formulate the filtering process as a local multipoint regression problem, c...