110 search results - page 5 / 22 » Probabilistic Joint Feature Selection for Multi-task Learnin... |
ECCV
2010
Springer
14 years 18 days ago
2010
Springer
Abstract. This paper presents a simple, yet effective method of building a codebook for pairs of spatially close SIFT descriptors. Integrating such codebook into the popular bag-o...
AIPS
2007
13 years 10 months ago
2007
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...
NIPS
2003
13 years 9 months ago
2003
We propose an approach to learning the semantics of images which allows us to automatically annotate an image with keywords and to retrieve images based on text queries. We do thi...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. We address the problem of joint feature selection in multiple related classification or regression tasks. When doing feature selection with multiple tasks, usually one c...
CVPR
2011
IEEE
12 years 11 months ago
2011
IEEE
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...