288 search results - page 28 / 58 » Bayesian Learning of Sparse Classifiers |
TIP
2008
13 years 7 months ago
2008
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
PRL
2006
13 years 7 months ago
2006
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
PKDD
2010
Springer
13 years 5 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...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
We propose a new Bayesian approach to object-based image retrieval with relevance feedback. Although estimating the object posterior probability density from few examples seems in...
CORR
2011
Springer
2011
Springer
Iterative Reweighted Algorithms for Sparse Signal Recovery with Temporally Correlated Source Vectors
13 years 2 months ago
Iterative reweighted algorithms, as a class of algorithms for sparse signal recovery, have been found to have better performance than their non-reweighted counterparts. However, f...