Multiclass classification is an important problem in pattern recognition. Hierarchical SVM classifiers such as DAG-SVM and BHC-SVM are popular in solving multiclass problems. Howe...
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...
This paper presents a method for automatically estimating human interruptibility in home environments. To make online remote communication smoother, determining if it is appropria...
A large family of shape comparison methods is based on a medial axis transform combined with an encoding of the skeleton by a graph. Despite many qualities this encoding of shapes ...