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» Conditional Random Fields for Object Recognition
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ICML
2004
IEEE
15 years 10 months ago
Gaussian process classification for segmenting and annotating sequences
Many real-world classification tasks involve the prediction of multiple, inter-dependent class labels. A prototypical case of this sort deals with prediction of a sequence of labe...
Yasemin Altun, Thomas Hofmann, Alex J. Smola
IJCAI
2007
14 years 11 months ago
Locating Complex Named Entities in Web Text
Named Entity Recognition (NER) is the task of locating and classifying names in text. In previous work, NER was limited to a small number of predefined entity classes (e.g., peop...
Doug Downey, Matthew Broadhead, Oren Etzioni
CVPR
2012
IEEE
12 years 12 months ago
Discovering localized attributes for fine-grained recognition
Attributes are visual concepts that can be detected by machines, understood by humans, and shared across categories. They are particularly useful for fine-grained domains where c...
Kun Duan, Devi Parikh, David J. Crandall, Kristen ...
IWANN
2009
Springer
15 years 4 months ago
Identification of Chemical Entities in Patent Documents
Biomedical literature is an important source of information for chemical compounds. However, different representations and nomenclatures for chemical entities exist, which makes th...
Tiago Grego, Piotr Pezik, Francisco M. Couto, Diet...
ICASSP
2008
IEEE
15 years 3 months ago
A GIS-like training algorithm for log-linear models with hidden variables
Conditional Random Fields (CRFs) are often estimated using an entropy based criterion in combination with Generalized Iterative Scaling (GIS). GIS offers, upon others, the immedi...
Georg Heigold, Thomas Deselaers, Ralf Schlüte...