2865 search results - page 225 / 573 » Learning Models for Object Recognition |
138
Voted
BIBM
2008
IEEE
15 years 10 months ago
2008
IEEE
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
133
Voted
LREC
2008
15 years 5 months ago
2008
In this paper we describe an approach that both creates crosslingual acoustic monophone model sets for speech recognition tasks and objectively predicts their performance without ...
113
Voted
IWANN
2005
Springer
15 years 9 months ago
2005
Springer
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require captu...
107
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IJCNLP
2005
Springer
15 years 9 months ago
2005
Springer
Biomedical named entity recognition (NER) is a difficult problem in biomedical information processing due to the widespread ambiguity of terms out of context and extensive lexical ...
119
Voted
ECAI
2006
Springer
15 years 7 months ago
2006
Springer
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...