167 search results - page 26 / 34 » LIFT: A new framework of learning from testing data for face... |
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
Many problems in computer vision involving recognition and/or classification can be posed in the general framework of supervised learning. There is however one aspect of image dat...
BMVC
2010
13 years 6 months ago
2010
In this paper, we propose a novel manifold alignment method by learning the underlying common manifold with supervision of corresponding data pairs from different observation sets...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
ACCV
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. This paper introduces a new model-based approach for simultaneously reconstructing 3D human motion and full-body skeletal size from a small set of 2D image features track...