1176 search results - page 41 / 236 » Sparse reward processes |
127
Voted
ICIP
2004
IEEE
16 years 5 months ago
2004
IEEE
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
140
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
A sparse representation based method is proposed for text detection from scene images. We start with edge information extracted using Canny operator and then group these edge poin...
140
Voted
ICA
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. A nonparametric Bayesian extension of Independent Components Analysis (ICA) is proposed where observed data Y is modelled as a linear superposition, G, of a potentially i...
128
Voted
ICIP
2010
IEEE
15 years 1 months ago
2010
IEEE
The process of finding representative shape patterns from sparse datasets is a challenging task: especially for non-rigid objects, shape deformations through time can produce very...
99
Voted
ICASSP
2011
IEEE
14 years 7 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...