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ECML
2007
Springer
15 years 10 months ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen
MIR
2004
ACM
189views Multimedia» more  MIR 2004»
15 years 9 months ago
Repeating pattern discovery and structure analysis from acoustic music data
Music and songs usually have repeating patterns and prominent structure. The automatic extraction of such repeating patterns and structure is useful for further music summarizatio...
Lie Lu, Muyuan Wang, HongJiang Zhang
KBSE
1999
IEEE
15 years 8 months ago
Modular and Incremental Analysis of Concurrent Software Systems
Modularization and abstraction are the keys to practical verification and analysis of large and complex systems. We present in an incremental methodology for the automatic analysi...
Hassen Saïdi
IMECS
2007
15 years 5 months ago
Analysis of a Mixed-Signal Circuit in Hybrid Process Algebra ACPsrt
— ACPsrt hs is a hybrid process algebra obtained by extending a combination of two existing extensions of Algebra of Communicating Processes (ACP), namely the process algebra wit...
Ka L. Man, Michel P. Schellekens
AAAI
2010
15 years 4 months ago
Multi-Task Sparse Discriminant Analysis (MtSDA) with Overlapping Categories
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of training samples is small and the number of predictor...
Yahong Han, Fei Wu, Jinzhu Jia, Yueting Zhuang, Bi...