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IJCAI
2007
15 years 6 months ago
Learning from Partial Observations
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
Loizos Michael
CVPR
2005
IEEE
16 years 6 months ago
Classification of Contour Shapes Using Class Segment Sets
Both example-based and model-based approaches for classifying contour shapes can encounter difficulties when dealing with classes that have large nonlinear variability, especially...
Kang B. Sun, Boaz J. Super
ICASSP
2011
IEEE
14 years 8 months ago
Theoretical analyses on a class of nested RKHS's
One of central topics of kernel machines in the field of machine learning is a model selection, especially a selection of a kernel or its parameters. In our previous work, we dis...
Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaak...
MCS
2009
Springer
15 years 11 months ago
Multi-class Boosting with Class Hierarchies
Abstract. We propose AdaBoost.BHC, a novel multi-class boosting algorithm. AdaBoost.BHC solves a C class problem by using C − 1 binary classifiers defined by a hierarchy that i...
Goo Jun, Joydeep Ghosh
WIA
2005
Springer
15 years 10 months ago
A Class of Rational n-WFSM Auto-intersections
Weighted finite-state machines with n tapes describe n-ary rational string relations. The join n-ary relation is very important regarding to applications. It is shown how to compu...
André Kempe, Jean-Marc Champarnaud, Jason E...