114 search results - page 13 / 23 » A New Framework for Dissimilarity and Similarity Learning |
75
Voted
ECCV
2006
Springer
15 years 11 months ago
2006
Springer
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
108
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...
101
click to vote
TSP
2008
14 years 8 months ago
2008
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
PAMI
2008
14 years 9 months ago
2008
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...
86
Voted
ACCV
2010
Springer
14 years 4 months ago
2010
Springer
This paper presents a new method for viewpoint invariant pedestrian recognition problem. We use a metric learning framework to obtain a robust metric for large margin nearest neigh...