EACL
2009
ACL Anthology
14 years 4 months ago
2009
ACL Anthology
ICML
2001
IEEE
14 years 5 months ago
2001
IEEE
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
Impression evidence in the form of shoe-prints are commonly found in crime scenes. A critical step in automatic shoe-print identification is extraction of the shoe-print pattern. ...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Abstract. The visual analysis of human manipulation actions is of interest for e.g. human-robot interaction applications where a robot learns how to perform a task by watching a hu...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Recently, models based on conditional random fields (CRF) have produced promising results on labeling sequential data in several scientific fields. However, in the vision task of c...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
The notion of using context information for solving highlevel vision problems has been increasingly realized in the field. However, how to learn an effective and efficient context...