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» Learning Relations Using Collocations
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99
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ICMI
2007
Springer
112views Biometrics» more  ICMI 2007»
15 years 9 months ago
How to distinguish posed from spontaneous smiles using geometric features
Automatic distinction between posed and spontaneous expressions is an unsolved problem. Previously cognitive sciences’ studies indicated that the automatic separation of posed f...
Michel François Valstar, Hatice Gunes, Maja...
158
Voted
ERCIMDL
2001
Springer
205views Education» more  ERCIMDL 2001»
15 years 7 months ago
Building and Indexing a Distributed Multimedia Presentation Archive Using SMIL
This paper proposes an approach to the problem of generating metadata for composite mixed-media digital objects by appropriately combining and exploiting existing knowledge or met...
Jane Hunter, Suzanne Little
117
Voted
CIKM
2009
Springer
15 years 6 months ago
Improving binary classification on text problems using differential word features
We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...
Justin Martineau, Tim Finin, Anupam Joshi, Shamit ...
134
Voted
BMCBI
2006
150views more  BMCBI 2006»
15 years 2 months ago
Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains
Background: The subcellular location of a protein is closely related to its function. It would be worthwhile to develop a method to predict the subcellular location for a given pr...
Alla Bulashevska, Roland Eils
156
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Unsupervised determination of efficient Korean LVCSR units using a Bayesian Dirichlet process model
Korean is an agglutinative language that does not have explicit word boundaries. It is also a highly inflective language that exhibits severe coarticulation effects. These charac...
Sakriani Sakti, Andrew M. Finch, Ryosuke Isotani, ...