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» Learning Dissimilarities for Categorical Symbols
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ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
13 years 11 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
PAMI
2010
170views more  PAMI 2010»
13 years 3 months ago
On the Decoding Process in Ternary Error-Correcting Output Codes
—A common way to model multiclass classification problems is to design a set of binary classifiers and to combine them. Error-Correcting Output Codes (ECOC) represent a successfu...
Sergio Escalera, Oriol Pujol, Petia Radeva
TNN
1998
123views more  TNN 1998»
13 years 4 months ago
A general framework for adaptive processing of data structures
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
Paolo Frasconi, Marco Gori, Alessandro Sperduti
DRR
2009
13 years 2 months ago
Figure content analysis for improved biomedical article retrieval
Biomedical images are invaluable in medical education and establishing clinical diagnosis. Clinical decision support (CDS) can be improved by combining biomedical text with automa...
Daekeun You, Emilia Apostolova, Sameer Antani, Din...