174 search results - page 5 / 35 » A new objective function for sequence labeling |
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conduc...
130
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CVPR
2011
IEEE
14 years 6 months ago
2011
IEEE
A label consistent K-SVD (LC-KSVD) algorithm to learn a discriminative dictionary for sparse coding is presented. In addition to using class labels of training data, we also assoc...
SCALESPACE
1999
Springer
15 years 1 months ago
1999
Springer
In this paper we address two important problems in motion analysis: the detection of moving objects and their localization. Statistical and level set approaches are adopted in orde...
141
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PAMI
2010
14 years 8 months ago
2010
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
SIGIR
2008
ACM
14 years 9 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...