KAIS
2011
12 years 11 months ago
2011
Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, throu...
TASLP
2008
13 years 4 months ago
2008
We describe an acoustic chord transcription system that uses symbolic data to train hidden Markov models and gives best-of-class frame-level recognition results. We avoid the extre...
CORR
2007
Springer
13 years 4 months ago
2007
Springer
Abstract. In data analysis new forms of complex data have to be considered like for example (symbolic data, functional data, web data, trees, SQL query and multimedia data,. . . )....
IDA
2006
Springer
13 years 4 months ago
2006
Springer
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
UCS
2004
Springer
13 years 9 months ago
2004
Springer
Fiducial tags can be recognised successfully and decoded by computer vision systems in order to produce location information. We term a system dependable if its observable results ...