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IJCAI
2007
15 years 7 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 8 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 10 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
16 years 1 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 12 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...