868 search results - page 105 / 174 » Learning Object Representations Using Sequential Patterns |
ICML
2004
IEEE
14 years 10 months ago
2004
IEEE
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
Publication
A major difficulty in compiler development regards the proper modularization of concerns among the various compiler phases. The traditional object-oriented development paradigm ha...
ICPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Application-specific dissimilarity functions can be used for learning from a set of objects represented by pairwise dissimilarity matrices in this context. These dissimilarities m...
ISBI
2006
IEEE
14 years 10 months ago
2006
IEEE
Protein subcellular locations, as an important property of proteins, are commonly learned using fluorescence microscopy. Previous work by our group has shown that automated analys...
ICIP
2009
IEEE
13 years 7 months ago
2009
IEEE
Dynamic textures are image sequences with visual pattern repetition in time and space, such as smoke, flames, moving objects and so on. Dynamic texture synthesis is to provide a c...